Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely.

The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

• Contribute to a wide range of projects and deliver quickly and iteratively.
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
• Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

• 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
• Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
• Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
• Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

As a Senior Trait Definition Scientist, you will work with a diverse set of teams and data inputs to develop roadmaps that deliver meaningful impact of gene editing for crop improvement, leveraging some of the industry's most extensive and global agriculture and genetic datasets.

Your primary responsibilities will include:

• Developing and documenting recommendations for trait targets for gene editing that are guided by business impact and aligned with product and portfolio needs.
• Guiding connectivity between germplasm development targets and gene editing priorities to ensure that editing strategies translate into improved seeds and traits.
• Developing robust workflows that enable cross-team communication, decision making, and iterative prioritization to shape research direction and resource allocation.
• Identifying novel opportunities to utilize gene editing to impact the development of new seeds and traits products, leveraging emerging science and data-driven insights.
• Leading or assisting in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams.
• Actively building and expanding networks within the Crop Genome Editing team and across functions, serving as a consultant to leadership and partners in your area of expertise.
• Contributing to the Biology and Genome Design community by continuously developing your own capabilities and sharing best practices, tools, and learnings with colleagues.

To be successful in this role, you will need to possess a PhD in Biological Sciences, Plant Breeding, Plant Sciences, Genetics, Developmental Biology, or a related field, and at least 4 years of post-PhD experience working in gene editing, germplasm improvement, or closely related fields.

You will also need to have excellent communication skills with fluency in English, both written and verbal, and experience defining the collection, organization, analysis, and use of complex biological datasets and translating them into testable hypotheses.

Additional compensation may include a bonus or incentive compensation (if relevant).

This posting will be available for application until at least April 20, 2026.

XML job scraping automation by YubHub

Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

XML job scraping automation by YubHub

The primary responsibilities of this role are to:

Solve real agricultural problems using deep learning and AI across image and other data modalities, translating complex models into tangible business and scientific impact.

Design and implement end-to-end machine learning pipelines for computer vision use cases, including segmentation, classification, detection, and multi-task learning.

Prototype, evaluate, and iterate on cutting-edge architectures such as CNNs, Vision Transformers, foundational and large-scale vision models, ensuring state-of-the-art performance.

Optimize models for accuracy, robustness, and inference efficiency, including experimentation with hyperparameters, compression, and deployment-oriented optimisations.

Independently build scalable data pipelines for training, validation, and evaluation, including data ingestion, augmentation strategies, and active learning loops.

Collaborate cross-functionally with product, data, and software engineering teams to integrate models into production systems and deliver reliable, maintainable solutions.

Contribute to MLOps practices, including model versioning, deployment, monitoring, and retraining workflows using modern tooling and cloud-based platforms.

Build strong cross-functional relationships and actively engage with the broader Data Science Community to share best practices, align on standards, and co-create innovative solutions.

Present clear, compelling, and validated stories about experiments, results, and recommendations to peers, senior management, and internal customers to drive strategic and operational decisions.

We seek an incumbent who possesses the following:

M.S. with 2+ years of experience or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning or computer vision.

Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.

Hands-on experience with modern computer vision architectures including models such as ResNet, UNet, DeepLab, YOLO, SegFormer, SAM, and Vision Transformers.

Strong background in handling large-scale datasets and creating custom datasets, for example using frameworks such as Hugging Face Datasets.

Solid understanding of core machine learning concepts including loss functions, regularization, optimisation, and learning rate scheduling.

Experience developing and deploying models using cloud-based ML platforms such as AWS SageMaker.

Familiarity with Unix environments, including bash, file systems, and core utilities.

Strong engineering practices including use of Git, Docker, CI/CD pipelines, modular codebase design, and unit testing.

XML job scraping automation by YubHub

In this role, you will lead cross-functional projects with IT, Data Engineering, Genome Editing, and other partner teams to automate decision making and connect data to accelerate development of gene-edited products. You will translate complex biological processes into scalable digital workflows that support decision making, advancement, and prioritization within the gene editing program. Your strong ability to collaborate and lead in cross-functional, multi-disciplinary teams will be crucial in influencing without authority and aligning diverse stakeholders around shared digital solutions.

As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while sharing best practices with others. You will serve as a key communicator and thought partner on digital enablement strategy, clearly articulating requirements, trade-offs, and opportunities to scientific and non-scientific stakeholders.

We seek an incumbent who possesses a PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or another relevant scientific field with a minimum of 6 years of relevant experience, or an MS with 10+ years of experience developing data systems and analytics pipelines that enable product delivery using genetic and computational biology datasets.

XML job scraping automation by YubHub

Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks.

Responsibilities:

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives

• Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally

• Develop new methodological approaches for studying AI's impact on:

• Labor markets and the future of work

• Productivity and task transformation

• Economic inequality and displacement

• Industry-specific disruption and adaptation

• Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios

• Develop causal-inference tooling , e.g. surrogate indexes, heterogeneous-effect pipelines , to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions

• Build and maintain relationships with academic institutions, policy think tanks, and other research partners

• Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection

• Translate research insights into actionable recommendations for both product decisions and policy discussions

• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have:

• PhD in Economics

• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning

• Experience relevant to the study of AI’s impact on the economy, including:

• Labor market analysis and occupational change

• Task-based approaches to technological transformation

• Large-scale data analysis and econometric methods

• Large language models for social science research

• Policy-relevant economic research

• Experimental and quasi-experimental methods for causal inference

• Macroeconomic modeling and time series forecasting

• Agent-based modeling or large-scale simulation

• Technical skills including:

• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis

• Experience working with novel datasets and measurement systems

• Comfort learning new technical tools and frameworks

• Demonstrated ability to:

• Lead complex research projects from conception to publication

• Communicate technical findings to diverse audiences

• Build relationships across academic, policy, and industry communities

• Strong interest in ensuring AI development benefits humanity

• Comfort working with AI systems and ability to think critically about their capabilities and limitations

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Urdu with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Hindi with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Portuguese with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organisational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyse accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. The successful candidate will be able to provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

In addition to the above responsibilities, the successful candidate will be expected to:

• Collaborate with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
• Partner with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

Nice to have: experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring; familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

XML job scraping automation by YubHub

Your key responsibilities will include:

• Proactively managing high-priority, senior, and executive interview scheduling
• Fostering exceptional candidate experiences through direct candidate communication and driving projects and process improvements focused on candidate experience
• Providing support, training, and management of our vendor scheduling coordination team
• Supporting our Onboarding program by leading in-person events for new hires in our Mountain and London offices
• Championing our end-to-end TA workflows and processes, providing guidance and support to Recruiters where needed

To succeed in this role, you will need to possess proven administrative skills, particularly in managing complex scheduling and handling large datasets. You should also be energized by a dynamic workplace, juggling multiple tasks with ease while maintaining high-quality outcomes.

As a proactive problem solver who communicates effectively, you will welcome opportunities to implement innovative solutions. You will enjoy being part of a team and be able to build strong relationships with others, putting people at ease and creating understanding, including candidates.

You will demonstrate a keen eye for detail, ensuring accuracy and efficiency in all your work. A growth mindset and a willingness to develop new skills will also be essential in this role.

If you are a motivated and organized individual who is passionate about delivering exceptional candidate experiences, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Tamil with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Polish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

As an Applied Research Engineer at Labelbox, you'll sit at the junction of advanced AI research and real product impact, with a focus on the data that makes modern agents work,browser interactions, SWE/code traces, GUI sessions, and multi-turn workflows. You'll drive the data landscape required to advance capable, adaptable agents and help shape Labelbox's strategy for collecting, synthesizing, and evaluating it.

Create frameworks and tools to construct, train, benchmark and evaluate autonomous agent capabilities.

Design agent-focused data programs using supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies.

Develop data pipelines from diverse sources like code repositories, web browsers, and computer systems.

Implement and adapt popular open-source agent libraries and benchmarks with proprietary datasets and models.

Engage with research teams in frontier AI labs and the wider AI community to understand evolving agent data needs for frontier models and share best practices.

Collaborate closely with frontier AI lab customers to understand requirements and guide model development.

Publish research findings in academic journals, conferences, and blog posts.

What You Bring

Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field.

At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers.

Experience building and training autonomous agents,tool use, structured outputs, multi-step planning,across browsers/GUI, codebases, and databases using SFT and RL.

Constructed and evaluated agentic benchmarks (e.g. SWE-bench, WebArena, τ-bench, OSWorld) and reliability/efficiency suites (e.g. WABER).

Adept at interpreting research literature and quickly turning new ideas into prototypes.

Deep understanding of frontier models (autoregressive, diffusion), post-training (SFT, RLVR, RLAIF, RLHF, et al.), and their human data requirements.

Proficient in Python, data science libraries and deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).

Strong analytical and problem-solving abilities in ambiguous situations.

Excellent communication skills.

Track record of publications in top-tier AI/ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, etc.).

Labelbox Applied Research

At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

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The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design

• Analyze, visualize, and communicate results to support team efforts in improving models and data

• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production

• Work with biologists to collect data for the training and evaluation of generative models of biomolecules

• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models

• Demonstrated track record of implementing, training, improving advanced machine learning models

• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework

• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET

• Readiness to travel several times a year for company retreats and business events

Compensation

$200K – $275K + Bonus + Equity

Benefits

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based employees

• 401K with company match for US based employees and Direktversicherung for German employees

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

XML job scraping automation by YubHub

This foundational leadership role will build and lead the Enterprise Marketing Strategy & Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.

Responsibilities

• Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.
• Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.
• Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.
• Partner with marketing leadership and the central Marketing Ops & Strategy team on annual and quarterly planning, resource allocation, and performance reviews.
• Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops & Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.
• Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.
• Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.
• Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.
• Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.

Requirements

• 10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.
• Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.
• Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.
• Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).
• Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.
• Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.
• Strong written and verbal communication, capable of translating complex datasets into clear business narratives.
• Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Indonesian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in English with exposure to diverse accents, dialects, or regional variations.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Thai with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Responsibilities: Review and score AI model responses based on criteria such as humor effectiveness, timing, engagement, and conversational naturalness (using provided rubrics). Write or revise sample responses to maximize user engagement and entertainment, while ensuring factual accuracy. Maintain consistency in Grok's personality traits across varied topics (e.g., casual chat, technical explanations, philosophical discussions, humor). Create and label training datasets focused on elements like humor, irony, banter, and cultural references. Work with engineering teams to develop evaluation tasks that test and strengthen Grok's defined personality traits.

Basic Qualifications: Advanced proficiency in English, including idioms, rhythm, tone, and nuance (native or equivalent level). Public portfolio with examples of humorous, engaging, or charismatic writing (e.g., published articles, social media threads, scripts, or viral content; provide links). Strong ability to identify tonal inconsistencies, poor pacing, or ineffective phrasing in text. Proven track record of creating writing that is consistently humorous, clever, or engaging, with evidence of broad appeal (e.g., metrics like views, shares, likes, or publications). Extensive knowledge of current internet culture (memes, trends, platforms) and historical/cultural references.

Preferred Skills and Experience: Professional experience in comedy writing, screenwriting, viral content, improvisation, or performance.

XML job scraping automation by YubHub

As a research engineer, you'll partner with the product org to ensure that the vision improvements you deliver impact Claude's performance on real-world tasks. You'll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.

Strong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.

The annual compensation range for this role is $350,000-$850,000 USD.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Our Talent Acquisition team is responsible for attracting, recruiting, and onboarding exceptional talent to accelerate Google DeepMind's mission. Within this team sits our TA Operations team, responsible for owning and designing the end-to-end journey of Google DeepMind candidates globally, from application through to onboarding and orientation, aiming to deliver a seamless, high-touch lifecycle that reflects our culture.

###ecnAbout Us

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

This role will sit within the TA Operations team, and will partner with our Recruiters to provide interview coordination support and a white-glove experience exclusively to our senior and executive global talent pools. Beyond this, the role will execute projects focused on elevating both the hiring and onboarding experience, and drive process enhancements to ensure a unified approach across Google DeepMind.

This twelve-month contract role will be based in London, and will report into our Talent Experience & Operations Lead.

You will collaborate closely with four other Talent Operations Associates and our two Onboarding & Orientation Leads, based across London and Mountain View.

Key Responsibilities:

• Senior & Executive Interview Coordination: Proactively manage high-priority, senior, and executive interview scheduling. Efficiently manage a high volume of video and in-person interviews across multiple time zones, skillfully handling reschedules with speed and accuracy.
• Candidate Experience: Foster exceptional candidate experiences through direct candidate communication, and by driving projects and process improvements focused on candidate experience.
• Working with Vendors: Provide support, training, and management of our vendor scheduling coordination team.
• Onboarding: Support our Onboarding program by leading in-person events for new hires in our Mountain and London offices, creating opportunities for connection and learning. Help oversee onboarding operational support workflows, vendor management, and white-glove support for special populations (leaders and M&A).
• Process Management: Champion our end-to-end TA workflows and processes, providing guidance and support to Recruiters where needed.
• Continuous Improvement: Proactively anticipate challenges within hiring processes and use initiative to recommend solutions, and identify opportunities to enhance processes and candidate experience, contributing to broader Talent Acquisition projects.
• Stakeholder Management: Partner with recruiters, and hiring managers, serving as a trusted point of contact and effectively managing expectations. Collaborate with our Onboarding & Orientation team to ensure a smooth transition for new hires.
• ATS Management: Demonstrate proactive and exceptional ATS management, alongside competent reporting skills to draw data relevant to efficient hiring processes and positive candidate experience.

About You

In order to set you up for success as a Talent Operations Associate at Google DeepMind, we look for the following skills and experience:

• You possess proven administrative skills, particularly in managing complex scheduling and handling large datasets.
• You're energized by a dynamic workplace, juggling multiple tasks with ease while maintaining high-quality outcomes.
• You thrive in evolving environments and embrace ambiguity: you are able to collaborate in an agile way, readily adapting to new ways of working in response to business needs.
• You're a proactive problem solver who communicates effectively, and welcomes opportunities to implement innovative solutions.
• You enjoy being part of a team and are able to build strong relationships with others. You put people at ease and create understanding, including candidates.
• You possess a keen eye for detail, ensuring accuracy and efficiency in all your work.
• You demonstrate a growth mindset and readily seek out opportunities to develop new skills.

XML job scraping automation by YubHub

Research Scientist, Information Quality

Job Description

This role requires a passion for advancing information literacy through AI & machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.

Key responsibilities include formulating metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research. A public example of research work is Backstory.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.

Relevant domains may include, but are not limited to, determining media authenticity, context discovery, and open source intelligence investigations. A public example of recent work is Backstory.

Key responsibilities:

• Drive the projects by defining key research questions.
• Design, implement, and evaluate experiments to provide clear answers
• Contribute to real world impact, by landing your research in Google products and services.
• Publish research findings in top academic conferences and journals
• Stay up-to-date with the latest advancements in the field
• Collaborate with internal and external scientific domain experts.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, Statistics, or a related field.
• Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
• Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.

In addition, the following would be an advantage:

• Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.
• Experience with training, evaluating, and interpreting large language models.
• Experience working with large and noisy datasets.
• Experience collaborating across fields.
• Proven ability to design and execute independent research projects.

When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: April 28th, 2026

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You will collaborate closely with technical teams to support the development and refinement of new AI capabilities, with a primary focus on quantitative financial risk management domains. Your expertise will drive the selection and rigorous resolution of complex risk-related problems, including market risk modeling, credit and counterparty risk, liquidity and funding risk, operational and model risk, stress testing & scenario analysis, Value at Risk (VaR)/Expected Shortfall (ES), risk attribution, capital allocation (economic/regulatory), and enterprise-wide risk frameworks under regulatory regimes (Basel, Dodd-Frank, IFRS 9, etc.).

This role requires exceptional quantitative rigor, rapid adaptation to evolving guidelines, and the ability to deliver precise, technically sound critiques, derivations, and solutions in a fast-paced environment. As a Finance Risk Expert, you will directly support xAI's mission by helping train and refine frontier AI models. You will teach the models how risk professionals quantify uncertainties, model tail events, assess portfolio vulnerabilities, ensure regulatory compliance, perform stress testing, and make data-driven decisions to protect capital and maintain financial stability.

Your tasks may include recording audio walkthroughs of risk models, participating in video-based scenario reasoning, or producing detailed quantitative risk analysis traces. All outputs are considered work-for-hire and owned by xAI.

Responsibilities:

• Use proprietary annotation and evaluation software to deliver accurate labels, rankings, critiques, and comprehensive solutions on assigned projects
• Consistently produce high-quality, curated data that adheres to strict quantitative and regulatory standards
• Collaborate with engineers and researchers to develop and iterate on new training tasks, risk-specific benchmarks, and evaluation frameworks
• Provide constructive feedback to improve the efficiency, precision, and usability of annotation and data-collection tools
• Select and solve challenging problems from financial risk domains where you have deep expertise

Basic Qualifications:

• Master’s or PhD in a quantitative discipline: Quantitative Finance, Financial Engineering, Financial Mathematics, Statistics, Applied Mathematics, Econometrics, Risk Management, Operations Research, Physics, Computer Science (with risk/finance focus), or closely related field or equivalent professional experience as a quantitative risk analyst, risk modeler, or risk quant
• Excellent written and verbal English communication (technical reports, regulatory documentation, explanatory breakdowns)
• Strong familiarity with financial risk data sources and platforms (Bloomberg, Refinitiv, Moody’s Analytics, S&P Capital IQ, RiskMetrics, internal bank risk systems, regulatory filings, Basel/FRB datasets, etc.)
• Exceptional analytical reasoning, attention to detail, and ability to exercise sound judgment with incomplete or ambiguous data

Preferred Skills and Experience:

• Professional experience in quantitative risk management, model development/validation, or risk analytics at a bank, hedge fund, asset manager, insurance company, regulator, or consulting firm
• Track record of publication(s) or contributions in refereed journals/conferences on risk, econometrics, statistics, or quantitative finance
• Prior teaching, mentoring, or training experience (university, industry workshops, regulatory training)
• Proficiency in Python/R for risk modeling (pandas, NumPy, SciPy, statsmodels, QuantLib, PyTorch/TensorFlow for ML risk models, etc.) and familiarity with risk systems (Murex, Calypso, Numerix, etc.)
• Experience with Monte Carlo simulation, copula models, stochastic processes, time-series analysis, extreme value theory, or machine learning for risk (anomaly detection, credit scoring, etc.)
• Knowledge of regulatory capital frameworks (Basel III/IV, FRB CCAR, SR 11-7 model risk guidance, IFRS 9/CECL, Solvency II)
• CFA, FRM, PRM, CQF, or similar risk-focused certifications
• Previous exposure to large language models, AI safety, or quantitative evaluation pipelines

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time
• We are unable to provide visa sponsorship
• For those who will be working from a personal device, your computer must meet xAI’s minimum hardware requirements

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You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Vietnamese with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Urdu with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Norwegian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Turkish with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Marathi with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Thai with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications

• Native proficiency in Korean with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Telugu with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organisational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyse accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Requirements:

• Native proficiency in Japanese with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Tamil with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Italian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Indonesian with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Swedish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organisational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyse accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities: Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications: Native proficiency in Hindi with exposure to diverse accents, dialects, or regional variations. Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience: Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. Deep understanding and taste of what good/useful Audio data is. Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations: Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. We are unable to provide visa sponsorship. For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Punjabi with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Hebrew with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Portuguese with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Gujarati with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Polish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in German with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Finnish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in English with exposure to diverse accents, dialects, or regional variations.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Dutch with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Chinese with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Bengali with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.

• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.

• Commitment to developing AI that masters sophisticated multilingual audio capabilities.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.

• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

XML job scraping automation by YubHub

Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

Responsibilities:

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.

• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.

• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.

• Work with technical staff to improve annotation tools for efficient audio workflows.

Basic Qualifications:

• Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.

• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.

• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.

• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.

• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.

• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.

Preferred Skills and Experience:

• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.

• Deep understanding and taste of what good/useful Audio data is.

• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.

• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.

• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.

• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.

• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

• For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

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About this role:

As the Director of MedEcon, you will be a key leader in the organisation covering claims-based analysis, actuarial science, and medical economics. This is a foundational finance role that requires both strategic vision and hands-on execution. You will be responsible for building out the next generation of actuarial and medical economics capabilities while simultaneously delivering critical analyses that drive our business and clinical strategy.

While your actuarial knowledge is important, your core focus will be combining financial data, claims data, and operational performance data to drive insightful analysis that help push the Waymark care model forward through deep collaboration with analytics.

Reporting to the Chief Revenue Officer (acting CFO), you will lead financial performance measurement and forecasting for value-based contracts. You will be a technical expert who ensures we accurately forecast performance, understand cost trends, identify opportunities for clinical impact, and communicate our value to partners.

This role requires someone who can both develop sophisticated analyses themselves and build the infrastructure to scale these capabilities. You will work at the intersection of finance, partnerships, clinical operations, and analytics,translating complex actuarial and medical economics concepts into actionable insights for both internal stakeholders and external health plan and health system partners. You must be as comfortable building an IBNR model or conducting a cost trend analysis as you are presenting financial projections to a health plan CFO or helping to guide contract negotiations.

Understanding the nuances of Medicaid is essential and an added bonus if you have experience with Medicare Advantage and Dual Eligibles. Healthcare data in these populations can be incomplete and inconsistent, and the regulatory environment is complex and varies by state. Your deep expertise in these markets, combined with your ability to build robust analytical frameworks despite data challenges, will be critical to our success.

Key Responsibilities:

• Own savings forecasts and monthly financial close for all value-based contracts, including shared savings accruals, reserves, and IBNR development • Build and maintain financial models capturing performance drivers under MLR-based and RCT-based contract structures; monitor cost trends and provide early warnings of variances with recommended actions • Serve as the technical authority on total cost of care projections, conducting and reviewing sophisticated analyses, cost trend studies, and actuarial modeling as needed • Lead year-end contract reconciliation with health plan actuaries and provide actuarial/financial guidance during contract negotiations • Develop underwriting frameworks (MLR targets, performance guarantees, risk corridors) and build methodologies to accurately measure organisational performance across contract structures • Perform deep-dive cost trend analyses to identify clinical impact opportunities; generate insights that drive clinical model innovation and support strategic planning across market opportunities and growth scenarios • Serve as the primary technical counterpart to health plan actuaries during data validation, reconciliation, and negotiations • Lead discussions to resolve methodology differences and communicate findings clearly to non-technical stakeholders • Develop compelling value narratives and analytical exhibits that translate complex medical economics findings into actionable recommendations • Build, grow, and lead a best-in-class medical economics and actuarial function • Develop analytical tools, data infrastructure, and reporting frameworks that improve team efficiency and scale capabilities • Dive deep into data quality issues and work cross-functionally to resolve discrepancies; write analytical memos and reports that communicate findings to senior leadership

Minimum Qualifications:

• Advanced degree in a quantitative field (actuarial science, statistics, mathematics, economics, public health, or related) • 10+ years of progressive experience in health actuarial science or medical economics, with at least 3-5 years in a leadership role • Demonstrable expertise in Medicaid, including capitation, risk adjustment, MLR requirements, and regulatory frameworks • Proven track record with value-based care arrangements, shared savings contracts, and risk-bearing models, including contract underwriting, performance forecasting, and financial reconciliation • Expert-level proficiency in actuarial and medical economics methodologies (reserving, pricing, trend analysis, total cost of care modeling); strong SQL, Python, and/or R skills; advanced Excel/financial modeling; and experience with large, complex healthcare datasets • Demonstrated ability to build and lead high-performing analytical teams in growth-stage organisations, with exceptional communication skills across technical and non-technical audiences • Equal parts strategic thinker and hands-on executor , able to build vision and infrastructure while personally conducting sophisticated analyses • Comfortable with ambiguity, fast-moving priorities, and building effective cross-functional partnerships

Preferred Qualifications:

• ASA credential or meaningful progress toward FSA • Deep Medicaid managed care experience, including state program variations, CMS regulations, and actuarial standards of practice (ASOP) • Understanding of care delivery models, clinical quality measures, and the relationship between clinical interventions and medical costs • Experience building analytical functions from the ground up in early-stage or high-growth companies • Genuine commitment to improving care for underserved populations and closing health equity gaps

Salary Range:

US Employees in San Francisco/Bay Area, New York City - $175,000 - $231,000

US Employees in Boston, Los Angeles, Seattle, Washington DC - $161,000 - $212,000

US Employees in Arlington, Denver, San Diego, Sacramento - $154,000 - $203,000

US Employees in Albany, Atlanta, Austin, Baltimore, Central/Southern, Charlotte, Chicago, Dallas/Fort Worth, Detroit, Houston, Las Vegas, Miami, Milwaukee, Philadelphia, Portland, Research Triangle, Salt Lake City, Twin Cities - $140,000 - $185,000

US Employees in Baton Rouge, Birmingham, Charleston, Cincinnati, Cl

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Responsibilities of this role include: Thoughtfully build and lead a team of high-performing software engineers, hiring and growing diverse individuals on your team Leverage your team in collaboration with data scientists, geoscientists, and other software engineers to plan, prioritize, and deliver impactful projects that accelerate our exploration efforts Work with the Head of Data Systems Engineering and interdisciplinary leaders across the company on our strategy to advance both our technical product and organization Collaborate with cross functional peers (geoscientists and data scientists) across the company, learning about mineral exploration. Coach your team to better partner across the company. Spend roughly 1/3rd of your time contributing to projects as an individual contributor

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KoBold Metals is a privately held mineral exploration company and technology developer. It has become the largest independent mineral exploration company and largest exploration technology developer.

In the six years since founding, KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.

About the position

In this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.

Responsibilities

• Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations
• Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets
• Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation
• Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)
• Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods

Qualifications

A great Senior Exploration Geologist candidate will have:

• Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage
• Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets
• Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns
• Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)
• Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams
• Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration
• Demonstrated commitment to high standards of health and safety in the workplace
• A minimum of 10 years experience in the mineral exploration industry

It is helpful but not required to have:

• Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)
• Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data
• International experience, particularly in the Central African Copperbelt

Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.

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Hebbia is an AI platform for investors and bankers that generates alpha and drives upside.

As a Solutions Engineer - Partnerships at Hebbia, you will be the technical and strategic lead for activating our data and system partnerships in the field. You will operate at the intersection of partnerships, sales, and product , ensuring that Hebbia’s integrations with market data providers and fintech platforms translate into real, differentiated value during pre-sales and customer engagements.

Responsibilities

Own the technical strategy for partnership-driven deals, from discovery through close Lead joint pre-sales motions with partners, activating integrations with market data providers, content platforms, and fintech systems Develop a deep understanding of partner datasets, APIs, and system capabilities, and translate them into differentiated Hebbia solutions Design and configure integrated AI-powered workflows that combine Hebbia with partner data and systems to create real-world value Act as the technical face of partnerships in the field, supporting co-selling, joint demos, and strategic accounts Deliver high-stakes integrated demos and solution narratives to senior stakeholders, showcasing cross-platform value Identify gaps in integrations or positioning, and drive feedback loops to product and partnerships teams Surface risks early across multi-party deals, and align stakeholders to accelerate activation and deal progression Enable internal teams (Sales, Partnerships) with clear frameworks and best practices for positioning ecosystem value

Requirements

5+ years in a customer-facing technical role in complex enterprise environments (Solutions Engineering, Sales Engineering, Consulting, or similar) Experience working with market data, financial datasets, or fintech platforms (e.g., market data platforms, CRMs, virtual data rooms, portfolio monitoring tools, research platforms, or data infrastructure systems) Strong understanding of the financial technology ecosystem and how systems and data integrate across workflows Comfortable driving partnership or ecosystem-led pre-sales motions, including joint solutions and co-selling Able to translate complex, multi-system environments into clear, structured solution strategies Strong executive presence with a bias for ownership in high-ambiguity, performance-driven environments

What Success Looks Like in 6–12 Months

You independently lead technical discovery, demos, and evaluations for partnership-driven opportunities, embedding partner data and systems into Hebbia solutions You are a trusted partner to Sales and Partnerships, advancing deals by clarifying ecosystem value and strengthening joint solution narratives You activate partnerships in the field, translating integrations into tangible customer outcomes across pre-sales and early deployments You deliver integrated, high-impact demos that showcase Hebbia across market data, CRMs, and other fintech systems You proactively identify risks across multi-system, multi-party environments and drive alignment on mitigation strategies You meaningfully contribute to pipeline and revenue influenced by partnerships, improving win rates and deal velocity You build reusable assets and playbooks that scale how Hebbia and partners position and deliver joint value You provide structured feedback on integrations and ecosystem gaps, and are viewed internally as a go-to leader for partnership activation

Why Hebbia

Hebbia is redefining how teams work with complex information, turning unstructured data into clarity, speed, and confident decision-making. As a Solutions Engineer, you’ll sit at the center of that transformation, working directly with some of the most demanding and thoughtful buyers in the world.

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The MLS team at Freenome develops DL models using massive-scale genomic data that presents significant challenges for current training paradigms. The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL pipelines, optimising hardware utilisation for efficient training, and performing model optimisations.

As part of an interdisciplinary R&D team, they will work in close collaboration with machine learning scientists, computational biologists and software engineers to accelerate the development of state-of-the-art ML/AI models and help Freenome achieve its mission.

Key responsibilities include:

• Implementing and refining DL pipelines on distributed computing platforms to enhance the speed and efficiency of DL operations, including model training, data handling, model management, and inference.
• Collaborating closely with ML scientists and software engineers to understand current challenges and requirements and ensure that the DL model development pipelines created are perfectly aligned with scientific goals and operational needs.
• Continuously monitoring, evaluating, and optimising DL model training pipelines for performance and scalability.
• Staying up to date with the latest advancements in AI, ML, and related technologies, and quickly learning and adapting new tools and frameworks, if necessary.
• Developing and maintaining robust and reproducible DL pipelines that guarantee that DL pipelines can be reliably executed, maintaining consistency and accuracy of results.
• Driving performance improvements across our stack through profiling, optimisation, and benchmarking. Implementing efficient caching solutions and debugging distributed systems to accelerate both training and evaluation pipelines.
• Acting as a bridge facilitating communication between the engineering and scientific teams, documenting and sharing best practices to foster a culture of learning and continuous improvement.

Must-haves include:

• MS or equivalent experience in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Software Engineering, with an emphasis on AI/ML theory and/or practical development.
• 5+ years of post-MS industry experience working on developing AI/ML software engineering pipelines.
• Proficiency in a general-purpose programming language: Python (preferred), Java, Julia, C, C++, etc.
• Strong knowledge of ML and DL fundamentals and hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, Jax or Scikit-learn.
• In-depth knowledge of scalable and distributed computing platforms that support complex model training (such as Ray or DeepSpeed) and their integration with ML developer tools like TensorBoard, Wandb, or MLflow.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and how to deploy and manage AI/ML models and pipelines in a cloud environment.
• Understanding of containerisation technologies (e.g., Docker) and computing resource orchestration tools (e.g., Kubernetes) for deploying scalable ML/AI solutions.
• Proven track record of developing and optimising workflows for training DL models, large language models (LLMs), or similar for problems with high data complexity and volume.
• Experience managing large datasets, including data storage (such as HDFS or Parquet on S3), retrieval, and efficient data processing techniques (via libraries and executors such as PyArrow and Spark).
• Proficiency in version control systems (e.g., Git) and continuous integration/continuous deployment (CI/CD) practices to maintain code quality and automate development workflows.
• Expertise in building and launching large-scale ML frameworks in a scientific environment that supports the needs of a research team.
• Excellent ability to work effectively with cross-functional teams and communicate across disciplines.

Nice-to-haves include:

• Experience working with large-scale genomics or biological datasets.
• Experience managing multimodal datasets, such as combinations of sequence, text, image, and other data.
• Experience GPU/Accelerator programming and kernel development (such as CUDA, Triton or XLA).
• Experience with infrastructure-as-code and configuration management.
• Experience cultivating MLOps and ML infrastructure best practices, especially around reliability, provisioning and monitoring.
• Strong track record of contributions to relevant DL projects, e.g. on github.

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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The Global Analytics team applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources. We are seeking a Capital and Risk Analytics Lead within the Global Analytics team to support the firm’s business across both banking and markets regulatory regimes.

Technical Skills:

• Strong proficiency in quantitative modeling related to capital, margin, liquidity, and counterparty risk
• Experience with risk management methodologies such as margin modeling, exposure measurement, stress testing, scenario analysis, and sensitivity analysis
• Proficiency in a programming language such as Python, R, or similar
• Experience working with large datasets and analytical tools to support risk and capital analysis
• Ability to design, document, and maintain defensible analytical frameworks suitable for regulatory review

Complexity and Impact of Work:

• Own capital and risk analytics across banking and other regulatory requirements
• Design and maintain frameworks for margin, settlement exposure, netting, prefunding, and liquidity analysis
• Perform scenario analysis and stress testing tied to market volatility, volume growth, and adverse conditions
• Evaluate capital and risk tradeoffs to support product design, limits, and settlement architecture
• Produce clear documentation and governance artifacts to support supervisory discussions and internal controls
• Lead complex analytical workstreams end-to-end with limited oversight while coordinating with cross-functional partners

Organizational Knowledge:

• Have a deep knowledge of the strategy of Anchorage Digital and its various business lines
• Familiarity with U.S. banking regulatory requirements and supervisory expectations, and understand their impact on the organization

Communication and Influence:

• Write, edit, and review technical documents suitable for regulatory, executive, and internal stakeholder audiences
• Produce clear reports and presentations translating complex analytics into business-relevant insights
• Act as a trusted quantitative partner to senior leadership on capital and risk-related decisions
• Contribute to cross-functional initiatives and collaborate closely with Product, Risk, Legal, Compliance, Finance, and Engineering teams
• Provide guidance or informal training to other team members on capital and risk topics

You may be a fit for this role if you have:

• Bachelor’s degree in a quantitative field such as statistics, applied mathematics, economics, quantitative finance, and operations research. Advanced degrees preferred.
• 8+ years of experience in capital, margin, or risk analytics within banking, derivatives markets, clearing, or regulated financial infrastructure
• Direct experience with capital adequacy, margin requirements, counterparty exposure, or liquidity risk
• Hands-on experience designing and maintaining quantitative frameworks used in regulated environments
• Experience writing and defending analytical methodologies in regulatory or supervisory contexts

Although not a requirement, bonus points if:

• You've kept up to date with the proliferation of blockchain and crypto innovations
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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You are an innovative engineer who loves turning complex, raw data into sleek, interactive web applications. With a solid foundation in computer science or engineering, your expertise lies in front-end development and software architecture. You know exactly what it takes to build industry-leading apps from the ground up,keeping them fast, secure, and easy to maintain. As a natural collaborator who leads by example, you enjoy solving tough technical puzzles alongside a diverse team. If you’re excited about bringing massive datasets to life visually and setting the technical bar for your peers, you’ll be right at home here.

Your responsibilities will include: Architecting, designing, and developing user-friendly web applications. Establishing and enforcing architectural best practices to ensure long-term codebase maintainability, robust security, and optimal rendering performance. Collaborating with cross-functional teams to gather requirements, optimize visualization workflows, and drive technical strategy. Implementing advanced data visualization features that enable engineers to interpret intricate, high-dimensional datasets efficiently. Leading initiatives to guarantee the high performance, scalability, and security of our web applications, including regular audits and bottleneck optimizations. Driving code reviews, debugging complex architectural issues, and troubleshooting to maintain rigorous software quality standards. Staying up-to-date with industry trends and integrating modern technologies to enhance user experience and architectural resilience. Documenting system architecture and providing extensive technical guidance and mentorship to junior and mid-level team members.

As a staff engineer, you will set the technical vision and architectural standards for our front-end web applications. You will empower engineering teams to make informed decisions by providing clear, actionable visual insights from complex data. You will accelerate innovation cycles by streamlining visual rendering and analysis of large-scale simulation datasets. You will enhance the usability and accessibility of complex engineering tools through intuitive web interfaces. You will help Synopsys maintain its leadership in engineering software by integrating state-of-the-art visualization techniques.

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As a Risk Partnerships Manager, you will develop expertise on Stripe's risk policies in areas including fraud, credit, and brand risks. You will be relied upon to keep pace with emerging trends in the payments and fintech industries.

Key responsibilities include:

• Managing key risk relationships with financial partners, including bank sponsors, local payment methods, and key partners that enable new products and payment methods.
• Building relationships, understanding financial partner requirements, and advocating for Stripe's users and product teams with external stakeholders.
• Effectively communicating complex financial partner risk requirements to Stripe leadership, ensuring they are understood and correctly prioritized by Risk and the broader Global Partnerships team, as well as other cross-functional teams within the organization.
• Representing Stripe's risk controls and processes to bank partners, card networks, regulators, and other external parties.
• Contributing to Stripe risk strategy objectives by proposing process improvements, new risk policies, capabilities, and other areas of thought leadership to drive the company vision.

The ideal candidate will have 8+ years of professional experience, including 2+ years in the payments industry (Risk Management experience preferred), and a strong sense of ownership, resilience, and a drive to have an impact.

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You'll champion Xet storage on the Hugging Face Hub, empowering users to efficiently store, version, and collaborate on large-scale datasets. This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy—helping define the future of open data workflows.

Your main missions will be:

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organise events or challenges.
• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration—curate and showcase datasets, benchmarks, and tools like Xet.
• Highlight use cases like efficient large dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows.
• Create demos, benchmarks, and tools (e.g., Colab notebooks) to illustrate best practices for data storage and versioning.
• Experiment with Xet, Parquet, and other data formats to showcase their potential for ML and data engineering.
• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.
• Share insights on storage optimisation, dataset versioning, and deduplication to empower developers.
• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.
• Ensure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About you

You're a great fit if you:

• Have strong technical skills in Python, data libraries (e.g., pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3).
• Are a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning.
• Can clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.
• Are active in developer communities (GitHub, Discord, forums) and passionate about open source and knowledge sharing.
• Thrive in fast-moving environments and enjoy building in public to inspire others.

If you're interested in joining us but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from.

Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

We value development. You will work with some of the smartest people in our industry.

We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options.

We offer health, dental, and vision benefits for employees and their dependents.

We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed, and all remote employees have the opportunity to visit our offices.

If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package.

If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

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As our first Data/Infrastructure Advocate Engineer, you'll bridge the gap between cutting-edge data infrastructure and the global community of data engineers, researchers, and developers. You'll champion Xet storage on the Hugging Face Hub, empowering users to efficiently store, version, and collaborate on large-scale datasets.

This role is for someone who thrives at the intersection of technical depth (storage, Parquet, deduplication) and community advocacy—helping define the future of open data workflows. You'll collaborate with teams like Datasets, Hub, and Infrastructure to shape how developers interact with data on our platform, and inspire a community to build better, faster, and more scalable data pipelines.

Your Main Missions:

• Grow and nurture the open-source data/infra community—launch initiatives, collaborate with data-focused groups, and organise events or challenges. Engage with communities like Apache Parquet, Open Tables Formats, and data engineering forums to promote best practices and Hugging Face tools.

• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration—curate and showcase datasets, benchmarks, and tools like Xet.

• Highlight use cases like efficient large dataset updates, Parquet editing, and deduplication to demonstrate the Hub’s value for data workflows.

• Create demos, benchmarks, and tools (e.g., Colab notebooks) to illustrate best practices for data storage and versioning.

• Experiment with Xet, Parquet, and other data formats to showcase their potential for ML and data engineering.

• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible.

• Share insights on storage optimisation, dataset versioning, and deduplication to empower developers.

• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration.

• Ensure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases.

About you

You’re a great fit if you:

• Have strong technical skills in Python, data libraries (e.g., pandas, pyarrow, huggingface/datasets), and storage systems (Parquet, Open Table Formats, S3).

• Are a hands-on builder who loves experimenting with data tools, storage optimisation, and dataset versioning.

• Can clearly explain complex topics (e.g., deduplication, compression, Parquet editing) through writing, demos, or talks.

• Are active in developer communities (GitHub, Discord, forums) and passionate about open source and knowledge sharing.

• Thrive in fast-moving environments and enjoy building in public to inspire others.

If you're interested in joining us but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where you feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community, as well as the future of machine learning more broadly. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

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You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. This role involves bridging and integrating models with different cloud providers, ensuring the models meet expected performance, designing and developing easy-to-use, secure, and robust developer experiences and APIs for our users, writing technical documentation, examples and notebooks to demonstrate new features, and sharing and advocating your work and the results with the community.

The ideal candidate will have deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets, expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding, strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents, experience in building MLOps pipelines for containerizing models and solutions with Docker, familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful, ability to write clear documentation, examples and definition and work across the full product development lifecycle, and bonus experience with Svelte & TailwindCSS.

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community.

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We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions.

Responsibilities:

• Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider.
• Ensuring the above models meet the expected performance
• Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users.
• Write technical documentation, examples and notebooks to demonstrate new features
• Sharing & Advocating your work and the results with the community.

About You You'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including:

• Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets
• Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding
• Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents.
• Experience in building MLOps pipelines for containerizing models and solutions with Docker
• Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful
• Ability to write clear documentation, examples and definition and work across the full product development lifecycle
• Bonus: Experience with Svelte & TailwindCSS

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As an Open-Source ML engineer in Computer Vision, you will work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets. You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry.

Responsibilities:

• Work with existing open-source libraries to boost support for vision or multi-modal models and datasets.
• Bring computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem.
• Collaborate with researchers, ML practitioners, and data scientists on a daily basis.
• Foster one of the most active machine learning communities, helping users contribute to and use the tools that you build.

Requirements:

• Deep expertise in computer vision: object detection, segmentation, generative models, or multimodal systems.
• Strong open-source presence: You’ve contributed significantly to CV libraries (e.g., OpenCV, Detectron2, MMDetection, or Hugging Face’s own transformers/diffusers), as a Core-Contributor or maintainer.
• Scalability mindset: Experience optimizing models for production, deploying at scale, or improving inference efficiency.
• Collaboration & mentorship: You enjoy working with cross-functional teams, reviewing PRs, and guiding junior contributors.
• Alignment with our mission: You believe in democratizing AI and want to empower millions of builders with state-of-the-art tools.

If you love open-source, are passionate about the new development of Transformers models in computer vision, have experience building, optimizing, and training such models in PyTorch and/or TensorFlow, serving them in production, and want to contribute to one of the fastest-growing ML libraries, then we can't wait to see your application!

If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

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We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps.

As an Open-Source ML engineer in Computer Vision, you will work mainly with existing open-source libraries, such as Transformers and Datasets to boost the support for vision or multi-modal models and datasets.

You will bring your computer vision expertise to provide the best computer-vision tool stack in the machine learning ecosystem and work with us to provide the best, simplest, and most intuitive computer-vision library in the industry.

You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build.

You'll interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.

Responsibilities

• Deep expertise in computer vision: object detection, segmentation, generative models, or multimodal systems.
• Strong open-source presence: You’ve contributed significantly to CV libraries (e.g., OpenCV, Detectron2, MMDetection, or Hugging Face’s own transformers/diffusers), as a Core-Contributor or maintainer.
• Scalability mindset: Experience optimizing models for production, deploying at scale, or improving inference efficiency.
• Collaboration & mentorship: You enjoy working with cross-functional teams, reviewing PRs, and guiding junior contributors.
• Alignment with our mission: You believe in democratizing AI and want to empower millions of builders with state-of-the-art tools.

Benefits

• Flexible working hours and remote options.
• Health, dental, and vision benefits for employees and their dependents.
• Parental leave and flexible paid time off.
• Reimbursement for relevant conferences, training, and education.
• Company equity as part of their compensation package.

What We Offer

• Work with some of the smartest people in our industry.
• A bias for impact and a continuous growth mindset.
• Support for your well-being and career development.
• Opportunities to visit our offices in NYC and Paris.
• An outfitting of your workstation to ensure success.

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We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack.

If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community.

Requirements

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

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BlackRock is seeking a Director, Head of Private Credit, Preqin Research Insights to join the team in London. The ideal candidate will possess extensive knowledge of the private credit industry and be an excellent communicator in public settings.

Role Overview

BlackRock is a global asset manager and technology provider committed to helping more and more people achieve financial wellbeing. Continuous innovation enables us to bring the best of BlackRock to our clients — especially as we expand and strengthen our leadership in private markets, supported by Aladdin, our end-to-end investment, risk and data platform.

Private Credit is a key growth area for both the firm and for Preqin, Aladdin’s private markets data business. In this context, the Preqin Research Insights team is seeking a Head of Private Credit to join the team in London.

The Research Insights team serves as Preqin’s authoritative voice in the market and comprises more than 15 analysts across alternative asset classes, based in London, New York, Dallas, Singapore and Hong Kong. The team produces over 100 institutional research publications a year (www.preqin.com/insights) that are available to subscribers through Preqin’s commercial platform (PreqinPRO), and have seen strong growth over the last few years. The team also presents at over 50 industry forums and hundreds of strategic BlackRock client engagements each year.

Key Responsibilities

• Lead Private Credit research: lead research agenda to position Preqin as thought-leader on private credit across the industry, in collaboration with the Head of Preqin Research and partners across BlackRock
• Client and media engagement: represent Preqin at industry events, client meetings and financial press engagements
• Team development: mentor a team of researchers that touch private credit across Preqin Research, helping to ensure the production of high quality data driven content that resonates with clients
• Stakeholder engagement: build strong relationships across BlackRock teams working on private credit, across investment, client, Aladdin and corporate functions
• Product leadership: provide feedback on Preqin Private Credit data roadmap, grounded in the understanding of market developments and insights that clients need

Required Skills

• Industry experience: 15+ years of experience preferred in private credit or related areas. The ideal candidate will possess deep understanding of the broader private credit ecosystem, including Banks, Insurance and Wealth.
• Communication: exceptional presentation skills and ability to confidently and succinctly respond to questions
• Problem solving: ability frame problems and to define path forward in the absence of a clear industry standard (particularly relevant in private credit where definitions of key concepts – like “ABF” – are still evolving)
• Writing and analytical skills: demonstrated ability to analyze complex datasets and crystallize meaningful insights
• AI proficiency: hands-on comfort using AI tools in daily research work (e.g., prompt-based research, synthesis, data exploration – with awareness of AI limitations) and prompt engineering fundamentals (ability to create, test, iterate, and evaluate prompts/workflows to achieve consistent outputs)

Preferred Qualifications and Skills

• CFA or CAIA qualification preferred
• Bachelor's degree in a relevant field and advanced degree preferred
• Proficiency in Microsoft Office suite, particularly Excel, PowerPoint and Word.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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We are seeking an associate-level quantitative researcher to support and expand our growing suite of models for estimating the value of private assets and producing next-generation, real-time private market indices.

Role Description

The role centers on the development, operation, and continuous enhancement of Nowcasting models—managing day-to-day index estimation, improving model performance, and ensuring a robust, high-quality production process. A key challenge will be adapting these models to new situations, data conditions, and asset-class features, and determining when extensions or methodological changes are appropriate.

Key Responsibilities

• Manage and enhance the team’s existing Nowcasting model for private assets, including calibration, monitoring, diagnostics, and performance evaluation.
• Conduct empirical research to calibrate models to private market data and assess model performance through backtesting, benchmarking, and robustness analysis.
• Implement, maintain, and productionize model codebases, ensuring reliability, transparency, and reproducibility.
• Partner with internal stakeholders to understand use cases, communicate model behavior and limitations, and support applications of the models in investment and analytical workflows.

Qualifications

• Master’s degree in Financial Engineering, Finance, Statistics/Econometrics, Mathematics, Computer Science, or a related quantitative field; PhD preferred.
• 3+ years of experience in financial modeling role or equivalent.
• Strong grounding in empirical modeling techniques, especially time-series analysis and Bayesian methods.
• Demonstrated ability to conduct rigorous empirical research, including handling complex datasets and designing well-structured analyses.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture where collaboration and apprenticeship enrich the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

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Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data-driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.

As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments.

Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities:

• Design, analyse, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions.
• Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
• Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention.
• Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions.
• Effectively communicate analytical methodologies, data visualisations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.

Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Experience with SQL-like query languages. Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++. Ability to work independently, influence others, and solid communication and collaboration skills. Familiarity with search engines, dealing with online instrumentation. Experience with large datasets and interest in consumer online search behaviours. Experience with building machine learning models on large scale data.

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Develop novel data collection strategies

Improve dataset quality and integrity

Understand data-driven model behaviors

Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.

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Responsibilities:

Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.

Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.

Lead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.

Analyse system performance and identify opportunities based on data analysis and online experiments.

Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.

Qualifications:

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

4+ years of industry experience with a focus on computer vision, image/video generation and editing.

Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.).

Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.

Proactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.

Preferred Qualifications:

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

5+ years of industry experience with a focus on computer vision, image/video generation and editing.

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Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities Visual Intelligence Development: Build and deploy SOTA machine learning models for image classification, object detection, and video action recognition to power Bing’s multimedia features.

Multimodal & Generative AI: Lead the development of multimodal embeddings that align text and visual data, and leverage Generative AI (e.g., DALL-E, MAI models) to enhance content creation tools.

Scale & Optimization: Design robust feature-engineering pipelines to process billions of images and videos, ensuring low-latency inference in production services.

Strategic Leadership: Embody Microsoft’s values by Creating Clarity in complex AI problems and Generating Energy across cross-functional teams of engineers and PMs.

Responsible AI: Ensure all visual models adhere to strict Security, Privacy, and GDPR standards, specifically focusing on content moderation and bias detection in multimedia.

Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Mastery of Python and deep learning frameworks such as PyTorch or TensorFlow. Proven track record in Computer Vision (CV) or Multimedia Understanding, including work with large-scale visual datasets. Experience building and deploying live production systems at scale.

Preferred Qualifications: PhD focused on Computer Vision, Video Analytics, or Multimodal Learning. Experience with big data tools like Spark/PySpark and Azure Machine Learning. Publications in top-tier venues such as CVPR, ICCV, or ACM Multimedia.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

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We're seeking an exceptional engineer to join Anthropic's Detection Platform team to build and scale our next-generation security analytics infrastructure. In this role, you'll architect and implement data pipelines that process massive amounts of security telemetry, develop ML-powered detection systems, and create innovative solutions that leverage Claude to transform security operations.

Responsibilities:

• Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response
• Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure
• Architect solutions for storing and efficiently querying large volumes of security-relevant data
• Create rapid prototypes and proof-of-concepts for new security tooling and analytics capabilities
• Work closely with security and infrastructure teams to understand requirements and deliver solutions
• Mentor engineers and contribute to hiring and growth of the Security team
• Participate in on-call shifts

You may be a good fit if you:

• 7+ years of experience in software engineering with a focus on security, infrastructure and/or data pipelines
• Track record of building and maintaining internal developer tools or security platforms
• Strong understanding of data processing pipelines and experience working with large-scale logging systems

Strong candidates may also have experience with:

• Experience building security tooling from the ground up
• Background in implementing security monitoring solutions (SIEM, log aggregation, EDR)
• Background in detection engineering or security operations

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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San Francisco; New York City; Remote - US

Employment Type

Full time

Location Type

Hybrid

Department

Intelligence & Investigations

Compensation

• $198K – $220K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.

The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.

About the Role

As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.

In addition to conducting investigations directly, this role is explicitly designed to act as a force multiplier for the broader investigations team. You will be scaling or automating highly manual, important and nuanced processes. You will design and implement lightweight technical solutions—such as notebook templates, data pipelines or internal utilities—that enable specialized investigators to identify, track, and action abuse at a greater scale than a single investigator can currently achieve. Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.

You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.

This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work PST and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.

In this role, you will:

• Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.

• Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.

• Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.

• Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.

• Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries

• Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.

• Be someone people enjoy working with.

• Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.

You might thrive in this role if you:

• Have a strong background in computer science, software engineering, or a related field.
• Have experience with data analysis, machine learning, or other technical skills relevant to the role.
• Are able to work effectively in a fast-paced, dynamic environment.
• Are able to communicate complex technical information to non-technical stakeholders.
• Are able to work independently and as part of a team.
• Are able to adapt to changing priorities and deadlines.
• Are able to maintain confidentiality and handle sensitive information.
• Are able to work in a remote environment.

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Research Scientist, Mathematical Sciences

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $380K – $445K

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Strategic Deployment team makes frontier models more capable, reliable, and aligned to transform high-impact domains. On one hand, this involves deploying models in real-world, high-stakes settings to drive AI-driven transformation and elicit insights—training data, evaluation methods, and techniques—to shape our frontier model development. On the other hand, we leverage these learnings to build the science and engineering of impactful frontier model deployment.

As a key element of this effort, OpenAI for Science aims to harness AI to accelerate the process of scientific research. This involves building models and an AI-powered platform that speeds up discovery and helps researchers everywhere do more, faster.

About the Role

As a Research Scientist focused on the mathematical sciences, you will help build models, tools, and workflows that move theoretical research—in fields such as mathematics, theoretical physics, and theoretical computer science—forward. You’ll design domain-specific data and signals, shape training and evaluation, guide how to wire models to scientific tools, and work with the academic community to speed up adoption and impact.

We’re looking for people who…

• Hold a current or recent academic position in mathematical sciences (mathematics, theoretical physics, theoretical computer science) or a related field

• Regularly use frontier models in their own research

• Move easily between theory and code, and are eager to contribute technically as well as academically

• Either know or are eager to learn modern AI and run AI experiments end-to-end

• Are strong scientific communicators

• Care about rigor and reproducibility in scientific results

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

• Assist in designing and building frontier AI models that are great at solving frontier mathematical sciences problems

• Build high-quality scientific datasets and synthetic data pipelines (symbolic, numeric, and simulator-based)

• Design reinforcement and grading signals for mathematical sciences and run reinforcement learning/optimization loops to improve model reasoning

• Define and run evals for scientific reasoning, derivations, simulations, and literature grounding; track progress over time

• Partner with research labs and the academic community

• Drive adoption of frontier AI within the scientific community

• Uphold high standards for safety, data governance, and reproducibility

You might thrive in this role if you

• Are passionate about pushing the boundaries of your field using AI

• Have used ChatGPT to do calculations and prove or improve lemmas in your field of study

• Communicate clearly to both scientists and AI engineers; you like collaborating across teams and with academia

Nice to have

• Open-source contributions to mathematical science or AI tooling

• Experience building or curating domain datasets and benchmarks

• Experience engaging a research community (teaching, workshops, tutorials, standards)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.

About the Role

As the Ads Accounting Senior Manager, you will own the accounting and controllership for OpenAI’s advertising products. This includes end-to-end responsibility for revenue recognition, close, controls, and reporting for Ads — spanning measurement logic, rev-share structures, incentives, and emerging monetization models.

You’ll work closely with Product, Engineering, Technical Accounting, GTM, Tax, and other key stakeholders to ensure Ads monetization is designed and operationalized in a way that is compliant, scalable, and decision-useful in a rapidly evolving product environment.

Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.

Responsibilities

• Own end-to-end accounting and controllership for Ads, including revenue recognition, contra-revenue, rev-share, incentives, and related accruals, in accordance with ASC 606.

• Lead month-end and quarter-end close for Ads, ensuring accurate, complete, and timely reporting supported by robust reconciliations and flux analysis.

• Serve as the primary accounting partner for Ads monetization, supporting new product launches, pricing changes, and monetization experiments from design through steady-state operations.

• Translate complex commercial and contractual terms into operational accounting workflows, partnering with Technical Revenue Accounting to ensure policy alignment and scalable execution.

• Design, implement, and maintain SOX-compliant controls across Ads revenue measurement, recognition, and reporting.

• Collaborate with Product and Engineering to define, validate, and audit Ads measurement logic (e.g., impressions, clicks, usage, rev-share), ensuring underlying data pipelines are reliable, reconcilable, and scalable.

• Support and influence system implementations and enhancements, including Oracle Fusion, data warehouses, and Ads or billing integrations, with a focus on accounting integrity and auditability.

• Act as the accounting DRI for Ads in cross-functional forums, providing clear guidance, proactively flagging risks, and driving timely, well-reasoned decisions.

• Lead and support internal and external audits related to Ads, including documentation, walkthroughs, issue resolution, and remediation of findings.

• Contribute to broader revenue accounting initiatives, including automation, tooling, and process improvements that improve speed, quality, and scalability.

Requirements

• 10+ years of progressive accounting experience, including revenue accounting in a public company or late-stage private company.

• A CPA (or equivalent) with a strong command of ASC 606.

• Experience owning or supporting advertising revenue models, marketplace economics, and revenue-share arrangements, including complex measurement and data dependencies.

• Deep understanding of the order-to-cash lifecycle, including upstream data dependencies and downstream reporting.

• Comfort working with large datasets, partnering with data and engineering teams, and validating complex, high-volume calculations.

• Experience with Oracle Fusion ERP and system implementations

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San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Finance

Compensation

• $216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings — overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Product, Engineering, and Go-To-Market teams to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.

About the Role As the Ads Revenue Accounting Lead, you will own the accounting and controllership for OpenAI’s advertising products. This includes end-to-end responsibility for revenue recognition, close, controls, and reporting for Ads — spanning measurement logic, rev-share structures, incentives, and emerging monetization models.

You’ll work closely with Product, Engineering, Technical Accounting, GTM, Tax, and other key stakeholders to ensure Ads monetization is designed and operationalized in a way that is compliant, scalable, and decision-useful in a rapidly evolving product environment.

Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

You’ll be responsible for:

• Own end-to-end accounting and controllership for Ads, including revenue recognition, contra-revenue, rev-share, incentives, and related accruals, in accordance with ASC 606.

• Lead month-end and quarter-end close for Ads, ensuring accurate, complete, and timely reporting supported by robust reconciliations and flux analysis.

• Serve as the primary accounting partner for Ads monetization, supporting new product launches, pricing changes, and monetization experiments from design through steady-state operations.

• Translate complex commercial and contractual terms into operational accounting workflows, partnering with Technical Revenue Accounting to ensure policy alignment and scalable execution.

• Design, implement, and maintain SOX-compliant controls across Ads revenue measurement, recognition, and reporting.

• Collaborate with Product and Engineering to define, validate, and audit Ads measurement logic (e.g., impressions, clicks, usage, rev-share), ensuring underlying data pipelines are reliable, reconcilable, and scalable.

• Support and influence system implementations and enhancements, including Oracle Fusion, data warehouses, and Ads or billing integrations, with a focus on accounting integrity and auditability.

• Act as the accounting DRI for Ads in cross-functional forums, providing clear guidance, proactively flagging risks, and driving timely, well-reasoned decisions.

• Lead and support internal and external audits related to Ads, including documentation, walkthroughs, issue resolution, and remediation of findings.

• Contribute to broader revenue accounting initiatives, including automation, tooling, and process improvements that improve speed, quality, and scalability.

We’re looking for someone with:

• 10+ years of progressive accounting experience, including revenue accounting in a public company or late-stage private company.

• A CPA (or equivalent) with a strong command of ASC 606.

• Experience owning or supporting advertising revenue models, marketplace economics, and revenue-share arrangements, including complex measurement and data dependencies.

• Deep understanding of the order-to-cash lifecycle, including upstream data dependencies and downstream reporting.

• Comfort working with large datasets, partnering with data and engineering teams, and validating complex, high-volume calculations.

• Experience with Oracle Fusion ERP and

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About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.

The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

We are seeking a senior Global Security Investigator with a technical background to lead complex, long-running security investigations involving a full spectrum of threats – whether originating from internal employees, external threat actors, or supply chain partners. This role is about seeing the full chessboard and independently driving complex, multi-month cases across cyber, physical, and human domains.

In this role you will:

• Independently conduct comprehensive security investigations from initial detection to resolution, including cases involving insiders, external actors, and supply chain and third-party risks.

• Lead proactive, data-driven threat-hunting efforts that weave together disparate signals to surface undetected insider or external threats before they escalate into incidents.

• Perform comprehensive technical analysis of complex hardware, software, and supplier supply chains to identify, enumerate, and mitigate risks.

• Partner closely with cross-functional teams, including Human Resources, Legal, Security, and IT, and external stakeholders or law enforcement when necessary.

• Collaborate with technical counterparts to enhance detections, resolve telemetry gaps, and implement new capabilities to identify security issues involving cyber, physical, and human domains.

• Collect, preserve, and analyze evidence from a variety of sources, including log data, digital forensics, subject interviews, access records, threat intelligence, and open-source intelligence (OSINT), to support investigative findings.

• Continuously improve investigative procedures and security controls based on investigations and lessons learned.

You might thrive in this role if you have:

• Bachelor’s degree in Criminal Justice, Cybersecurity, or a related field (or equivalent experience) and 8+ years of investigative experience in counterintelligence, insider risk, forensic investigations, cybersecurity, supply chain security, or related domains.

• Unimpeachable integrity, sound judgment, and the ability to handle confidential matters with discretion.

• An active US security clearance, or willingness and eligibility to obtain one.

• Deep specialization in geopolitical threat domains, with hands-on experience identifying, assessing, and mitigating adversarial risks through tailored countermeasures.

• Expert knowledge of common security tooling, including EDR, DLP, UEBA, SIEM, SOAR and other related platforms.

• Demonstrated ability to independently write complex queries, automate data workflows, and analyze structured datasets.

• Excellent written and verbal communication skills, including the ability to distill complex findings into clear, actionable reports and explain technical issues to non-technical stakeholders.

• Exceptional collaboration skills with the ability to work across diverse teams (HR, Legal, IT, etc.) to lead projects and investigations with minimal guidance.

Compensation

• San Francisco, Seattle or New York: $288K – $500K • Offers Equity

• Zone B: $230.4K – $500K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus for eligible employees and benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick and safe time (1 hour per 30 hours worked)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $347K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.

In this role, you will:

• Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation.

• Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems.

• Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes.

• Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.

• Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance.

• Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency.

• Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.

• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.

• Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes.

• Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities.

• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.

• Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards.

• Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”

You might thrive in this role if you have:

• 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets

• Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks

• Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)

• Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain

• Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C

• Experience integrating with contract manufacturers and external logistics providers is a strong plus

• Strong track record of partnering with senior business stakeholders

Work Environment

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

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