Responsibilities:

Live Fraud Investigation & Reconstruction - Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces Provide support to day-to-day fraud operations including SEVs and alert triage Reconstruct attacker sequences and hypothesize actor intent and tooling Distill patterns from noisy signals into clear narratives and actionable insights Bridge investigation outcomes to product and model improvements

Signal & Tool Utilization at Scale - Operate across Plaid's fraud tooling , dashboards, alerting systems, network signals, and analytics platforms , to detect and validate anomalies Stress-test existing capabilities, identify systemic gaps, and define new detection primitives Proactively identify gaps in internal fraud tooling and automation, driving enhancements to improve efficiency and scale

Product & Model Partnership - Collaborate with Data Science, ML/AI, and Product teams to improve labeling, feature sets, evaluation frameworks, and model decay monitoring Surface data quality limitations and systematically formalize missing features Translate exploratory research into reusable feature pipelines, model inputs, or rule augmentations Participate in product discovery, roadmap planning, and post-launch evaluation to ensure fraud-awareness by design

Deep Applied Fraud Research - Conduct longitudinal and structural analysis of how fraud types manifest in Plaid network data , entity linkages, temporal patterns, attack rotations, tool chains Experiment with network/graph analysis, sequence mining, anomaly detection, and custom heuristics where off-the-shelf approaches fail

Ecosystem Monitoring & Knowledge Leadership - Continuously survey external fraud trends, adversary techniques, tooling, and emerging threat vectors Proactively perform threat modeling of abuse surfaces and initiate research proposals when patterns emerge

Case Studies & Reporting - Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders Document investigation workflows, attack classifications, and proof-of-concept detection logic Drive post-incident learning by capturing lessons from fraud incidents and feeding them back into defenses

Qualifications:

Required - 3+ years of applied fraud experience in a high-velocity environment (fintech, consumer payments, banking, SaaS, marketplace risk, or security research) Investigator mindset: pattern synthesis, hypothesis testing, and skilled triage between signal and noise End-to-end investigation experience reconstructing attacker intent and behavior in multi-step attack sequences across accounts, devices, and identities Post-containment incident response experience with a deep emphasis on post-mortems and root cause analysis Dark and grey-web navigation and investigation experience; ability to assess source credibility and translate external intelligence into actionable insights Strong communication: ability to explain complex, ambiguous behavior to technical and non-technical audiences Tool fluency with data environments and investigative toolchains (BI tools, anomaly detection, case trackers)

Preferred - SQL for deep data querying and exploratory analysis Python for scripting, rapid prototyping, and analytical workflows Graph/network analysis experience to detect linked behavioral structures or actor networks Familiarity with rule engines, signal gating, and large-scale monitoring systems Experience applying AI tools and agents to accelerate investigations and research workflows Ability to translate fraud research into actionable signals, rules, or labeled datasets that improve model performance

Nice to Have - Fraud domain certifications (e.g., CFE) Prior work on consumer identity, payments, or risk platform development Exposure to production ML model lifecycles and metrics for drift/decay Experience improving internal fraud tooling, automation, or case management systems

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know.

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Your key responsibilities will include:

• Design, simulate, implement, and measure active and passive RF sub-systems at microwave frequencies, including SSPAs, LNAs, power amplifiers, up/down converters, oscillators, filters, etc.
• Be responsible for hardware designs from requirements definition through manufacturing, bring-up, and qualification testing
• Integrate these systems into the spacecraft by working closely with the rest of the team
• Specify, procure, and integrate third-party vendor hardware
• Assist in recruiting, interviewing, and hiring additional teammates to our rapidly growing team

Requirements:

• BS in electrical engineering, physics, applied physics, or equivalent
• Passion for hardware development, including working in a fast-paced environment and hands-on design and development
• 1-6 years of experience
• Deep knowledge of fundamental RF concepts, such as RF circuit analysis, noise, linearity, radio architectures, etc
• Hands-on experience in designing, building, and testing RF hardware for microwave frequencies
• Experience with RF simulation tools (ADS, Cadence, HFSS, etc)

Bonus:

• MS or PhD in electrical engineering, physics, applied physics, or equivalent
• Experience with PCB design, layout, and simulation (Altium or similar)
• Experience with system-in-package (SiP), multi-chip modules (MCM), packaged RF hybrids, etc
• Experience developing communications satellite payloads
• Experience designing SSPAs or implementing SSPA-based phased arrays
• Experience with designing high-reliability electronics for harsh environments such as space or automotive
• Antennas and electromagnetics propagation knowledge and background
• Experience with software-defined radios and associated skillset (mixed signal, high-speed digital)
• Familiarity with Python or other scripting languages used for automating test instruments

What we offer:

All our positions offer a compensation package that includes equity and robust benefits. Base pay is just one component of Astranis's total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.

Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, and the level and scope of the position.

Base Salary: $120,000-$165,000 USD

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Key Responsibilities:

• Take ownership of project priorities, deadlines and deliverables using Agile methodologies, with clear outcomes around reliability automation and AI-enabled operations
• Understand and refine business and functional requirements, translating them into SLOs/SLIs and AI-assisted observability and support capabilities
• Hands on approach to getting work done,this role requires a “roll your sleeves up” mentality, including building and operationalizing reliability tooling and automation that measurably reduces toil and improves stability
• Be a leader with vision and a partner in brainstorming solutions for team productivity and efficiency to improve engineering effectiveness
• Drive priority setting of the engineering teams, balancing foundational reliability work with delivery of new product features
• Improve Engineering culture by encouraging continuous focus on reliability across the entire application lifecycle, and by adopting AI-enabled SRE practices (e.g., intelligent alerting, automated diagnosis, and self-healing where appropriate)
• Proactive participant in architectural and design decisions, including AI-ready telemetry, data quality, and model integration patterns for operational analytics
• Design and implement end-to-end monitoring solutions for application and infrastructure components, leveraging modern observability platforms plus AI/ML techniques for anomaly detection, correlation, and alert noise reduction
• Drive the engineering of capacity management and demand forecasting solutions, including predictive analytics/ML approaches where they add measurable value
• Act as a culture carrier and leader, passing on SRE knowledge and best practices to the engineering team
• Drive detailed root cause investigations for production incidents with rigorous focus on issue avoidance, using AI-assisted correlation/analysis to accelerate time-to-insight
• Create/coordinate retros for significant incidents, ensuring learnings are captured in automated/AI-assisted runbooks and embedded into prevention mechanisms
• Additional core engineering functions, such as adding custom telemetry metrics/logs/traces to the code base of in-scope applications to enable AI/ML-driven operational insights
• Anticipate new opportunities to continuously evolve the resiliency profile of scoped applications and infrastructure

Requirements:

• B.S. / M.S. degree in Computer Science, Engineering or a related discipline with 10+ years of experience
• Experience leading high performing engineering/SRE teams, with a track record of driving continuous improvement through automation and AI-enabled operations
• Demonstrated ability to represent engineering/SRE priorities, status, and risk to senior leadership stakeholders with clear, executive-ready communication
• Hands-on experience building or operating AI-assisted capabilities (AIOps, ML-based anomaly detection, or GenAI workflows) in an engineering/production environment
• A passion for providing engineering support for highly available, performant full stack applications with a “Student of Technology” attitude
• Experience with relational database and NoSQL Database (e.g. Redis, Apache Cassandra)

Benefits:

• 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
• Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about

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

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

XML job scraping automation by YubHub

Your responsibilities will include applying comprehensive sign-off checks (DRC/LVS/ERC/ANT/DFM) to optimize manufacturability, performance, and yield across multiple foundries. You will collaborate with global teams, circuit design, CAD, and PD teams to resolve methodology issues and implement optimized layout designs.

You will conduct design reviews and offer constructive feedback to enhance quality and performance. You will utilize Unix/Shell/Python/TCL/ICV scripting to automate design workflows, QA checks, checklist enforcement, and quality metrics generation.

The impact you will have includes accelerating the creation and optimization of high-performance logic library IP for next-generation silicon solutions, ensuring robust manufacturability and yield, contributing to the reliability and success of Synopsys' IP products, enhancing productivity and efficiency through workflow automation and quality assurance initiatives, driving innovation by implementing advanced layout techniques for emerging technologies like FinFet and GAA, fostering collaboration across global teams, leading to improved methodologies and best practices, and maintaining the highest standards of quality, compliance, and performance in every design delivered.

To succeed in this role, you will need a BTech/MTech in Electrical Engineering, Electronics, or related field, with 5+ years of relevant experience in IC layout design, preferably in standard cell libraries. You will require proficiency with Synopsys Custom Compiler, Virtuoso, Innovus/ICC2, and ICV/Calibre (DRC/LVS/DFM), hands-on experience with TSMC, Samsung, UMC, and GlobalFoundries PDKs, strong scripting skills in Python, Tcl, Perl, SKILL, ICV, and shell scripting, solid understanding of sign-off flow, waiver handling, and quality tracking, excellent written and spoken English for technical communication, deep knowledge of CMOS, DPT, EM/IR, ESD/latch-up, noise, and digital layout fundamentals, and ability to work independently and collaborate effectively across teams.

XML job scraping automation by YubHub

Key responsibilities include:

• Leading new/forward model product development of the base engine sub system for new engine platforms
• Designing, developing, and releasing components
• Leading/supporting resolution of major design, manufacturing, program, and launch issues
• Creating, completing, and approving supplier and Ford engine DVPs and overseeing testing in support of robust validation
• Leading Sub System CPMT activities
• Supporting all program meetings (EPMT, Design Review, DPMT, change control, etc.)
• Leading drawing release and changes
• Interfacing with Calibration, mating components, Purchasing, suppliers, and mfg./assembly plants
• Prototype Build coordination: loading forward model part numbers into system and ensuring fit and function
• Working directly with suppliers, Supplier Technical Assistance (STA), and launch teams to support programs and resolve quality issues, including travel both domestic and international when required
• WERS (Worldwide engineering release system) coordination; alerts, Concerns and SREA processing
• Developing and maintaining CPMT documents, including appropriate quality documents (ESOW, DFMEA, FEDE, e3P, SCCAF’s, Global Integrator, OPTEX, PPAP & PSW’s, 543 Chart etc.) for program specific sub-system responsibilities
• Creating, completing, and approving supplier and internal DV/PV test plans and overseeing testing in support of robust validation
• Leading/supporting warranty reduction and issue resolution using a structured 8D documented approach
• Leading/supporting TVM cost reduction idea generation and implementation
• Leading/supporting change control activities
• Traveling as necessary to Ford Assembly Plants/Facilities and Supplier/Sub-Supplier sites for issue resolution and build support

You'll have a Bachelor of Science in Engineering or related degree, or a combination of equivalent experience and education. You'll need 5+ years of Component and System/Subsystem D&R Experience, internal combustion engine experience preferred. You'll also need to be able to work effectively and lead in a team environment, have knowledge of FMEA’s, Control Plans, and DV/PV Plans, and possess basic knowledge of NVH, Materials, Durability, and Manufacturing processes.

Even better, if you have technical expertise/experience with Diesel internal combustion engines, specifically base engine design and release, experience with Ford internal PD systems (GPDS, FEDE, WERS, AIMS, SREA, Teamcenter, 3DX, Etc.), Green Belt certification (or black belt), base engine testing, 1D & 3D simulation methodologies – Both and Static and Dynamic, base engine Sub-system design & development, NVH - Noise Vibration & Harshness, Design for manufacture, and knowledge of Ford Motor Company’s Global Product Development System and design release 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 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. 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

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 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 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 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

\nYour 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.

\nResponsibilities:

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 French 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 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 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.

XML job scraping automation by YubHub

This position requires deep expertise in circuit QED, quantum device physics, and noise modeling for quantum error correction (QEC).

You will work closely with experimental teams to model processor dynamics and lead efforts to improve qubit readout fidelity and quantum gate performance across our R&D platforms.

This role demands strong cross-functional collaboration with specialists in qubit readout, gate calibration, control systems, and superconducting circuit design.

Together, you will drive innovations that support scalable architectures, quantum advantage, and fault-tolerant error correction.

Key Responsibilities:

• Develop and maintain advanced simulation tools to accurately model noise sources in flux-tunable superconducting qubits

• Model and analyze entangling gate operations on superconducting quantum processors

• Apply optimal control techniques to improve quantum gate and readout performance

• Develop analytical tools to interpret experimental measurements and diagnose performance anomalies

• Perform detailed error-budget modeling to support quantum error correction (QEC) efforts

• Collaborate cross-functionally with teams in gate operations, measurement, device design, applications, algorithms, and control engineering.

Required Qualifications:

• Ph.D. in Physics, Applied Physics, Electrical Engineering, or a related field, plus 5+ years of relevant work experience

• Modeling noise in large scale processors and inform Hamiltonian designs

• Experience simulating open quantum systems

• Experience collaborating with experimentalists on readout and noise characterization; analyzing and interpreting experimental data, and predicting anomalies

• Background in gate-based quantum computing or superconducting circuits, either academically or in industry

• Demonstrated depth and breadth in circuit QED physics, including Hamiltonian modeling, dispersive readout theory, and multi-qubit coupling architectures

• Proven expertise in noise modeling for quantum error correction, including coherent and incoherent error channels, leakage, crosstalk, and correlated noise

• Strong programming skills in Python for scientific applications

Preferred Qualifications:

• Experience with optimal control theory applied to superconducting qubits

• Familiarity with quantum error correction codes and fault-tolerant architectures

• Track record of publications in relevant peer-reviewed journals

• Experience with high-performance computing or GPU-accelerated simulations

• Proficiency with scientific computing libraries such as QuTiP, or Stim

XML job scraping automation by YubHub

Your primary focus will be on supporting customers in enjoing Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge. Additionally, you will be knowledgeable in multiple domains of design implementation and understand codependency of flow and methodology such as Macro & Standard Cell Placement, Clock Tree Synthesis, Routing, Advanced Timing Optimization techniques.

You will also articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).

As a member of our high-performing Customer Application Services team, you will collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.

Responsibilities:

• Support customers in enjoying Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge.
• Articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).
• Collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.
• Manage multiple customer activities concurrently, and work with Account Managers and AC management to set their priorities.
• Sales support roles include product demonstrations, evaluations, and competitive benchmarking. Customer support roles include training, problem resolution, and technical account management.

Key Qualifications:

• Design Implementation experience should include ASIC design using industry-standard tools (Placement, Optimization, CTS, Routing)
• RTL to GDSII full flow experience or knowledge is preferable
• Strong interest and understanding of Advanced Node & Design methodologies are required.
• In-depth Synopsys Back end tool (Logical and Physical Synthesis, AI methodologies, Timing Closure techniques, Macro Placement, Routing at advanced Node, Static Timing Analysis, including noise analysis) experience and knowledge are required.
• Knowledge of several Clock Tree Synthesis methodologies like H-Tree, MS-CTS is preferred
• Excellent verbal and written presentation/communication skills are mandatory.
• Customer sensitivity, the ability to multiplex many issues & set priorities, and the desire to help customers exploit new technologies are essential for success in the position.

Preferred Experience:

• BSEE or equivalent, required with 7+ years of experience, or MSEE, or equivalent with 5+ years of experience.
• Tool knowledge expected: Back end P&R tools (Fusion Compiler, ICC2, Innovus)
• Tool knowledge (preferred): front end Synthesis tools (Fusion Compiler, Design Compiler, Genus),
• Tool knowledge (preferred): STA (Primetime, Tempus)

XML job scraping automation by YubHub

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, powering self-driving cars, cloud infrastructure, and learning machines.

You Are:

A Staff-level analog/MS engineer who owns complex designs end-to-end, influences architecture, and mentors others. You balance performance, reliability, and schedule in advanced CMOS and communicate clearly across teams.

If you are excited by the prospect of shaping high-speed connectivity in AI, cloud, automotive, and beyond - and you seek to empower some of the world's most advanced systems - this role is your opportunity to make a meaningful impact.

What You'll Be Doing:

• Taking end-to-end ownership of critical analog and mixed-signal blocks in high-speed SERDES designs
• Making architectural and circuit-level tradeoffs to optimize power, performance, area, and reliability
• Defining, verifying, and documenting testbenches for rigorous pre-silicon validation
• Leading custom analog layout coordination, ensuring parasitic awareness and post-layout optimization
• Driving robustness and quality sign-off processes, including PVT, mismatch, aging, reliability, and yield analysis
• Aligning system-level interfaces and usability considerations for seamless integration
• Executing silicon bring-up, characterization, and correlation against design specifications
• Providing technical leadership, mentorship, and guidance within a collaborative, multidisciplinary team

What You'll Need:

• MS/PhD in Electronics/Computer Engineer or equivalent; typically 7+ years or equivalent Staff-level impact
• Deep analog/MS in deep sub-micron CMOS; signal integrity/noise/jitter
• Proven architecture tradeoffs and production silicon experience
• Strong custom analog layout collaboration; post-layout optimization
• Excellent communication; ability to influence across teams

The Team You'll Be A Part Of:

You will join the IP and System Solutions Group, a cornerstone of Synopsys' mission to enable the industry's most advanced silicon. The SERDES team is renowned for developing high-speed interface IP, deployed across a wide range of applications and technology nodes. This multidisciplinary group collaborates closely to deliver high-performance, power-efficient chips, optimizing power, performance, and area (PPA) while accelerating time-to-market. You'll work alongside experts in architecture, circuit design, layout, and system integration, fostering innovation and excellence in every project.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

15231

Remote Eligible

No

Date Posted

02/15/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

• An experienced and passionate Analog and Mixed-Signal (A&MS) Senior Circuit Design Expert with a strong background in PLL , data converters and SERDES design.

• You have a deep understanding of mixed-signal techniques for dynamic and static power reduction, performance enhancement, and area reduction.

• Your expertise includes circuit architectures simulation, circuit layout, and knowledge of bipolar, CMOS, passive network and interconnect parasitic impact in advanced finfet technology nodes.

• You excel in developing Analog Full custom circuit macros, such as PLLs, Clock Path Functions, clocking solutions, TX/RX datapaths, and power management and regulation for High Speed PHY IP, in both planar and fin-fet CMOS technology.

• You thrive in collaborative environments, working closely with silicon test and debug experts to advance quality through Sim2Sil correlation.

• You are also passionate about building and nurturing key analog design talent to grow business impact through successful project execution.

What You’ll Be Doing:

• Leading NRZ/PAM4 Serdes analog design transceiver solutions.

• Developing Analog Full custom circuit macros for High Speed PHY IP in advanced technology nodes.

• Collaborating with silicon test and debug experts for Sim2Sil correlation.

• Analyzing various mixed signal techniques for power reduction, performance enhancement, and area reduction.

The Impact You Will Have:

• Driving innovation in mixed-signal advanced analog serdes design.

• Enhancing the performance and efficiency of high-speed physical interfaces.

• Contributing to the development of cutting-edge technology in High Speed PHY IP.

• Improving quality and robustness of design through collaboration and Sim2Sil correlation.

What You’ll Need:

• BE 15+ years of relevant experience or MTech 12+ years of relevant experience in mixed signal analog, clock, and datapath circuit design.

• Experience in designing Charge-pump-based PLLs, Fractional-N PLLs, Digital PLLs, XTAL oscillators, and LO generation circuits.

• Knowledge in Equalizers , CDR architectures , high-speed digital circuit design , timing/phase noise analysis, signal integrity .

• Knowledge of RF architecture and blocks such as transceivers front-end , VCOs, LNA, and up/down converters

Who You Are:

• Strong fundamentals of CMOS, device physics, and sub-micron design methodologies.

• Experience with PLL designs and high-speed digital circuit design.

• Knowledge of control systems, band gaps, bias, op-amps, LDOs, and feedback techniques.

• Familiarity with digitally assisted analog circuit techniques.

• Capable to drive technical decision and tradeoff with customer focus

The Team You’ll Be A Part Of:

Join our High-Performance Computing (HPC) Enterprise analog/mixed-signal Serdes team involved in cutting-edge High Speed PHYSICAL Interface Development.

You will work with experienced teams locally and with colleagues from various sites across the globe, fostering a collaborative and innovative environment.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

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What you'll do

• Providing world-class support to customers and channel partners, ensuring effective usage and satisfaction with Apache BU simulation products focused on Power, Power Integrity, and Reliability.
• Applying advanced knowledge in custom circuit analysis, RTL design, high-performance VLSI design, standard cell physical layout, power-grid extraction, timing analysis, noise analysis, and voltage drop effects to solve complex SoC challenges.

What you need

• Bachelor’s degree in Electrical Engineering (BSEE) with at least 6 years of experience, Master’s degree (MSEE) with 4 years, or PhD with 2 years in VLSI design.
• Expertise in custom circuit analysis, standard cell physical layout, timing and noise analysis, and voltage drop effects using CAD tools.
• Strong technical knowledge of EDA tools for layout, STA, Extraction (SPEF/DSPF), and Spice simulation.

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What you'll do

Crafting sophisticated layout for mixed signal and analog circuits in deep sub-micron CMOS technologies.

• Reviewing and analyzing floorplans and intricate circuits with circuit designers.

• Running complete sets of design verification tools available on AMS blocks.

• Working with the circuit design team to plan/schedule work and coordinate vital layout tradeoffs as needed.

• Interpreting LVS, DRC and ERC reports to find the fastest way to complete layout.

• Exceeding engineering specifications and expectations by working closely with the circuit design team.

What you need

• B.Tech/M.Tech with 5+ years of relevant experience.

• Proven experience in analog/mixed-signal layout design of deep sub-micron CMOS circuits.

• Experience in implementing analog layouts to achieve tight matching, low noise, and low power consumption.

• High level of proficiency in custom and standard cell based floor-planning and hierarchical layout assembly.

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What you'll do

• Developing and maintaining SerDes system models for NRZ and PAM4 transceivers targeting PCIe (128Gbps+) and Ethernet (200Gbps+) standards.
• Running comprehensive system simulations to verify and sign-off design performance across multiple protocols and channels.

What you need

• M.Sc. or Ph.D. in Electrical or Computer Engineering.
• Strong experience modeling circuits and systems in MATLAB/Simulink.
• Expertise in designing high-speed analog CMOS circuits.
• Solid understanding of DSP and communications theory, including equalization, coding, and noise/crosstalk filtering.
• Proficiency in analyzing link budgets for NRZ and/or PAM4 high-speed serial links.
• Familiarity with wireline protocols (PCIe, Ethernet, JESD204C, CPRI) and optical protocols (LINEAR, RTLR).
• Experience with circuit topologies used in high-speed SerDes Tx/Rx and Tx/Rx equalization techniques.
• Hands-on lab testing for high-speed serial links and proficiency in C/Verilog-A/systemVerilog.

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What you'll do

• Developing and maintaining SerDes system models for NRZ and PAM4 transceivers targeting PCIe (128Gbps+) and Ethernet (200Gbps+) standards.
• Running comprehensive system simulations to verify and sign-off design performance across multiple protocols and channels.
• Designing and proposing advanced algorithms to calibrate and adapt transceivers for optimal performance.
• Correlating simulated performance with silicon measurements to ensure accuracy and reliability.
• Providing expert assistance to customers for system-level performance issues and troubleshooting.
• Collaborating with cross-functional teams of analog, digital, and hardware engineers throughout all stages of development.
• Contributing to lab testing and analysis for high-speed serial links, ensuring robust design validation.

What you need

• M.Sc. or Ph.D. in Electrical or Computer Engineering.
• Strong experience modeling circuits and systems in MATLAB/Simulink.
• Expertise in designing high-speed analog CMOS circuits.
• Solid understanding of DSP and communications theory, including equalization, coding, and noise/crosstalk filtering.
• Proficiency in analyzing link budgets for NRZ and/or PAM4 high-speed serial links.
• Familiarity with wireline protocols (PCIe, Ethernet, JESD204C, CPRI) and optical protocols (LINEAR, RTLR).
• Experience with circuit topologies used in high-speed SerDes Tx/Rx and Tx/Rx equalization techniques.
• Hands-on lab testing for high-speed serial links and proficiency in C/Verilog-A/systemVerilog.

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