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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b33cbd91-bc9"},"title":"Systematic Production Support Engineer","description":"<p>We are seeking an experienced Systematic Production Support Engineer to help us scale our systematic operations and support engineering capabilities. This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.</p>\n<p>As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations</li>\n<li>Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions</li>\n<li>Implementing automated systems and processes focused on trading and operations</li>\n<li>Streamlining development and deployment processes</li>\n</ul>\n<p>Technical qualifications include:</p>\n<ul>\n<li>5+ years of development experience in Python</li>\n<li>Experience working in a Linux/Unix environment</li>\n<li>Experience working with PostgreSQL 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Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission.</p>\n<p>This is a unique opportunity to drive significant value creation for one of the world&#39;s leading investment managers.</p>\n<p>Principal Responsibilities:</p>\n<ul>\n<li>Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.</li>\n<li>Work with portfolio managers and other internal customers to reduce operational risk through:</li>\n<li>Implementation of monitoring, reporting, and trade workflow solutions.</li>\n<li>Implementation of automated systems and processes focused on trading and operations.</li>\n<li>Streamlining development and deployment processes.</li>\n<li>Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.</li>\n</ul>\n<p>Technical Qualification:</p>\n<ul>\n<li>5+ years of development experience in Python.</li>\n<li>Experience working in a Linux / Unix environment.</li>\n<li>Experience working with PostgreSQL or other relational databases.</li>\n<li>Ability to understand and discuss requirements from portfolio managers.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Understanding of NLP, supervised/non-supervised learning and Generative AI models.</li>\n<li>Experience operating and monitoring low-latency trading environments.</li>\n<li>Familiarity with quantitative finance and electronic trading concepts.</li>\n<li>Familiarity with financial data.</li>\n<li>Broad understanding of equities, futures, FX, or other financial instruments.</li>\n<li>Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.</li>\n<li>Experience with Apache / Confluent Kafka.</li>\n<li>Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).</li>\n<li>Experience with containerization and orchestration technologies.</li>\n<li>Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.</li>\n<li>Contributions to open-source projects.</li>\n</ul>\n<p>The estimated base salary range for this position is $100,000 to $175,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&#39;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_32932504-2b5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Equity IT","sameAs":"https://mlp.eightfold.ai","logo":"https://logos.yubhub.co/mlp.eightfold.ai.png"},"x-apply-url":"https://mlp.eightfold.ai/careers/job/755954627501","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$100,000 to $175,000","x-skills-required":["Python","Linux / Unix","PostgreSQL","NLP","supervised/non-supervised learning","Generative AI models"],"x-skills-preferred":["Apache / Confluent Kafka","C/C++","Java","Scala","Go","C#","containerization","orchestration technologies","AWS","GCP","Azure"],"datePosted":"2026-04-18T22:13:42.254Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States of America · Old Greenwich, Connecticut, United States of America"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Finance","skills":"Python, Linux / Unix, PostgreSQL, NLP, supervised/non-supervised learning, Generative AI models, Apache / Confluent Kafka, C/C++, Java, Scala, Go, C#, containerization, orchestration technologies, AWS, GCP, Azure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100000,"maxValue":175000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_329c5a70-9d5"},"title":"Member of Technical Staff - Model Training","description":"<p>You will work on the most critical modelling challenges at any given time.</p>\n<p>As a Member of Technical Staff, you will be part of a small, highly motivated team focused on engineering excellence.</p>\n<p>Our team operates with a flat organisational structure, where all employees are expected to be hands-on and contribute directly to the company&#39;s mission.</p>\n<p>Leadership is given to those who show initiative and consistently deliver excellence.</p>\n<p>Work ethic and strong prioritisation skills are important.</p>\n<p>All employees are expected to have strong communication skills, being able to concisely and accurately share knowledge with their teammates.</p>\n<p>You will get clarity on your first project before an offer.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Work on the most critical modelling challenges at any given time.</li>\n</ul>\n<ul>\n<li>Get clarity on your first project before an offer.</li>\n</ul>\n<p>Basic Qualifications</p>\n<ul>\n<li>Believe truth-seeking AI is the most important and challenging problem.</li>\n</ul>\n<ul>\n<li>Be obsessed about building incredibly useful models.</li>\n</ul>\n<ul>\n<li>Be a power user of AI models.</li>\n</ul>\n<ul>\n<li>If you previously trained models used by millions of people, it&#39;s a big plus, but modelling experience is not required.</li>\n</ul>\n<ul>\n<li>Take pride in your work and thrive in meritocratic environments.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_329c5a70-9d5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://x.ai/","logo":"https://logos.yubhub.co/x.ai.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5086969007","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI models","modelling","truth-seeking AI","power user of AI models"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:18.345Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI models, modelling, truth-seeking AI, power user of AI models"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07a3c83e-51e"},"title":"Research Engineer, Infrastructure, Numerics","description":"<p>We&#39;re looking for an infrastructure research engineer to design and build the core systems that enable efficient large-scale model training with a focus on numerics. 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Since 2018, we&#39;ve been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.</p>\n<p>As an Applied Research Engineer at Labelbox, you will be at the forefront of developing cutting-edge systems and methods to create, analyze, and leverage high-quality human-in-the-loop data for frontier model developers. Your role will involve designing and implementing advanced systems that align human feedback into AI training processes, such as Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), etc. You will also work on innovative techniques to measure and improve human data quality, and develop AI-assisted tools to enhance the data labeling process.</p>\n<p>Your Impact</p>\n<ul>\n<li>Advance the field of AI alignment by developing cutting-edge methods, such as RLHF and novel approaches, that ensure AI systems reflect human preferences more accurately.</li>\n</ul>\n<ul>\n<li>Improve the quality of human-in-the-loop data by designing and deploying rigorous measurement and enhancement systems, leading to more reliable AI training.</li>\n</ul>\n<ul>\n<li>Increase efficiency and effectiveness in AI-assisted data labeling by creating tools that leverage active learning and adaptive sampling, reducing manual effort while improving accuracy.</li>\n</ul>\n<ul>\n<li>Shape the next generation of AI models by investigating how different types of human feedback (e.g., demonstrations, preferences, critiques) impact model performance and alignment.</li>\n</ul>\n<ul>\n<li>Optimize human feedback collection by developing novel algorithms that enhance how AI learns from human input, improving model adaptability and responsiveness.</li>\n</ul>\n<ul>\n<li>Bridge research and real-world application by integrating breakthroughs into Labelbox’s product suite, making human-AI alignment techniques scalable and impactful for users.</li>\n</ul>\n<ul>\n<li>Drive industry innovation by engaging with customers and the broader AI community to understand evolving data needs and share best practices for training frontier models.</li>\n</ul>\n<ul>\n<li>Contribute to the AI research ecosystem by publishing in top-tier journals, presenting at leading conferences, and influencing the future of human-centric AI.</li>\n</ul>\n<ul>\n<li>Stay ahead of AI advancements by continuously exploring new frontiers in human-AI collaboration, human data quality, and AI alignment, keeping Labelbox at the cutting edge.</li>\n</ul>\n<ul>\n<li>Establish Labelbox as a thought leader in AI by creating technical documentation, blog posts, and educational content that shape the industry&#39;s approach to human-centric AI development.</li>\n</ul>\n<p>What You Bring</p>\n<ul>\n<li>A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field.</li>\n</ul>\n<ul>\n<li>Proven experience (3+ years) in solving complex ML challenges and delivering impactful solutions that improve real-world AI applications.</li>\n</ul>\n<ul>\n<li>Expertise in designing and implementing data quality measurement and refinement systems that directly enhance model performance and reliability.</li>\n</ul>\n<ul>\n<li>A deep understanding of frontier AI models,such as large language models and multimodal models,and the human data strategies needed to optimize them.</li>\n</ul>\n<ul>\n<li>Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow to prototype and develop cutting-edge solutions.</li>\n</ul>\n<ul>\n<li>A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community.</li>\n</ul>\n<ul>\n<li>The ability to bridge research and application by interpreting new findings and rapidly translating them into functional prototypes.</li>\n</ul>\n<ul>\n<li>Strong analytical and problem-solving skills that enable you to tackle ambiguous AI challenges with structured, data-driven approaches.</li>\n</ul>\n<ul>\n<li>Exceptional communication and collaboration skills, allowing you to work effectively across multidisciplinary teams and with external stakeholders.</li>\n</ul>\n<p>Labelbox Applied Research</p>\n<p>At Labelbox Applied Research, we&#39;re committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advanced human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.</p>\n<p>We foster an environment of intellectual curiosity, collaboration, and innovation. We encourage our researchers to explore new ideas, engage in open discussions, and contribute to the wider AI community through publications and conference presentations. Our goal is to be at the forefront of human-centric AI development, setting new standards for how AI systems learn from and interact with humans.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0e93287d-e38","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Labelbox","sameAs":"https://www.labelbox.com/","logo":"https://logos.yubhub.co/labelbox.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/labelbox/jobs/4640965007","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$250,000-$300,000 USD","x-skills-required":["AI","Machine Learning","Deep Learning","Python","PyTorch","JAX","TensorFlow","Data Quality Measurement","Refinement Systems","Human-AI Interaction","Frontier AI Models","Large Language Models","Multimodal Models"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:40.503Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco Bay Area"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Deep Learning, Python, PyTorch, JAX, TensorFlow, Data Quality Measurement, Refinement Systems, Human-AI Interaction, Frontier AI Models, Large Language Models, Multimodal Models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":250000,"maxValue":300000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6d46741a-b4c"},"title":"Senior Systems Engineer, OS Automation","description":"<p>CoreWeave is looking for a Senior Systems Engineer who is ready to evolve beyond traditional DevOps. 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Your responsibilities include refining annotation tools and selecting complex problems from advanced materials science fields to drive significant improvements in model performance.</p>\n<p>This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.</p>\n<p>This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.</p>\n<p>The AI Tutor - Materials Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Solve problems that help drive innovation in materials by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.</li>\n<li>Choose problems from various fields across materials science that align with your specialization, where you can confidently provide detailed solutions and evaluate model responses.</li>\n<li>Regularly interpret, analyze, and execute tasks based on given instructions.</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li>Master’s or PhD in materials science, physics, chemistry, chemical engineering, or a highly related field.</li>\n<li>Expertise and specialization in a materials-related subdomain, including but not limited to energy materials, semiconductors, nanomaterials, metals, alloys, biomaterials, polymers, elastomers, ceramics, or glasses.</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources, databases, and online resources is essential.</li>\n<li>Outstanding communication, interpersonal, analytical, and organizational capabilities.</li>\n<li>Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.</li>\n<li>Strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p>Preferred Skills and Experience:</p>\n<ul>\n<li>Advanced expertise in materials science, demonstrated by multiple publications, or patents, preferably with one or more first-author papers, in reputable peer-reviewed journals.</li>\n<li>Previous AI Tutoring experience.</li>\n<li>Teaching experience (as a professor, teacher, or tutor).</li>\n<li>Experience in technical writing, journalism, or a professional writing setting.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_43e01c5a-696","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4925823007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - 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$100/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. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_a1eb5337-935","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5039318007","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time|part-time|contract|temporary|internship","x-salary-range":"$45/hour - $100/hour","x-skills-required":["financial reporting","consolidations","internal controls","U.S. GAAP","accounting analysis","explanations","evaluations","AI models","complex accounting concepts","sophisticated accounting scenarios","model reasoning","accounting standards","sound accounting judgments"],"x-skills-preferred":["corporate financial accounting","public accounting","SEC-reporting organizations","complex transactions","judgment-intensive accounting matters","technical accounting analyses","research memoranda","disclosure analyses","case-based materials","peer-reviewed publication","academic or practitioner-oriented accounting journals","scholarly output","teaching experience","financial accounting","intermediate/advanced accounting","auditing","related subjects"],"datePosted":"2026-04-18T15:31:27.167Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"financial reporting, consolidations, internal controls, U.S. GAAP, accounting analysis, explanations, evaluations, AI models, complex accounting concepts, sophisticated accounting scenarios, model reasoning, accounting standards, sound accounting judgments, corporate financial accounting, public accounting, SEC-reporting organizations, complex transactions, judgment-intensive accounting matters, technical accounting analyses, research memoranda, disclosure analyses, case-based materials, peer-reviewed publication, academic or practitioner-oriented accounting journals, scholarly output, teaching experience, financial accounting, intermediate/advanced accounting, auditing, related subjects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f954702b-59a"},"title":"Member of Technical Staff - Model Training","description":"<p>About the Role</p>\n<p>You will work on the most critical modelling challenges at any given time. 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The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.</p>\n<p>Responsibilities</p>\n<ul>\n<li><p>Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients&#39; software products.</p>\n</li>\n<li><p>Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.</p>\n</li>\n<li><p>Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces.</p>\n</li>\n<li><p>Collaborate with our product and science team to continuously improve our product and model capabilities based on customers&#39; feedback.</p>\n</li>\n</ul>\n<p>About You</p>\n<ul>\n<li><p>You are fluent in English.</p>\n</li>\n<li><p>You hold a degree in Computer Science, Software Engineering, or a related field.</p>\n</li>\n<li><p>You have 2+ years as a technical individual contributor on cutting-edge technologies.</p>\n</li>\n<li><p>You have strong technical coding skills in Python and TypeScript.</p>\n</li>\n<li><p>You have experience with front-end frameworks such as React, NextJS, or VueJS.</p>\n</li>\n<li><p>You have experience with back-end technologies such as NodeJS.</p>\n</li>\n<li><p>You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.</p>\n</li>\n<li><p>You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.</p>\n</li>\n</ul>\n<p>Ideally you have:</p>\n<ul>\n<li><p>Experience with LLM/GenAI models.</p>\n</li>\n<li><p>Contributed to open-source projects or libraries.</p>\n</li>\n<li><p>Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.</p>\n</li>\n</ul>\n<p>Benefits</p>\n<p>We have local offices in Paris, London, Marseille and Singapore.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8187a949-dc8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mistral AI","sameAs":"https://mistral.ai"},"x-apply-url":"https://jobs.lever.co/mistral/21bfa08c-f4f7-41e2-968d-aef29c2acf66","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","TypeScript","React","NextJS","VueJS","NodeJS","Software development principles","Design patterns","Data structures","Algorithms"],"x-skills-preferred":["LLM/GenAI models","Open-source projects or libraries","Customer Engineer","Forward Deployed Engineer","Sales Engineer","Solutions Architect","Technical Product Manager"],"datePosted":"2026-03-10T11:24:18.218Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, TypeScript, React, NextJS, VueJS, NodeJS, Software development principles, Design patterns, Data structures, Algorithms, LLM/GenAI models, Open-source projects or libraries, Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, Technical Product Manager"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1269e1de-426"},"title":"Annotation Specialist","description":"<p>Join our Human Data Annotation team as an Annotation Specialist to contribute to and audit human data annotations, upholding the highest standards of quality and efficiency.</p>\n<p>As an Annotation Specialist, you will generate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models. 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We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for prompt and context engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilities and real product experience, working with product teams to build consistent, safe, and beneficial user experiences across all product surfaces.</p>\n<p>You will be deeply involved in new product feature and model releases at Anthropic, combining engineering expertise with an understanding of frontier AI applications and model quality. 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However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, we want to remind you that we will never ask you to pay any fees for the hiring process. If someone contacts you claiming to be from Anthropic and asks for money, please report it to us immediately.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_557894f1-074","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5107121008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000USD","x-skills-required":["Python","LLMs","Prompt engineering","Evaluation methodologies","Metrics for AI systems","Version control","CI/CD","Modern software development practices"],"x-skills-preferred":["Claude","Frontier AI models","Machine learning","NLP","A/B testing","Experimentation frameworks","AI safety","Alignment considerations","Tools and infrastructure for ML/AI workflows"],"datePosted":"2026-03-08T13:52:10.785Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, LLMs, Prompt engineering, Evaluation methodologies, Metrics for AI systems, Version control, CI/CD, Modern software development practices, Claude, Frontier AI models, Machine learning, NLP, A/B testing, Experimentation frameworks, AI safety, Alignment considerations, Tools and infrastructure for ML/AI workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28cb565e-69a"},"title":"Researcher, Health AI","description":"<p><strong>Researcher, Health AI</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Safety Systems</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $445K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. 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Our Health AI team is focused on enabling universal access to high-quality medical information. We work at the intersection of AI safety research and healthcare applications, aiming to create trustworthy AI models that can assist medical professionals and improve patient outcomes.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re seeking strong researchers who are passionate about advancing AI safety and improving global health outcomes. As a Research Scientist, you will contribute to the development of safe and effective AI models for healthcare applications. You will implement practical and general methods to improve the behavior, knowledge, and reasoning of our models in these settings. This will require research into safety and alignment techniques that we aim to generalize towards safe and beneficial AGI.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and apply practical and scalable methods to improve safety and reliability of our models, including RLHF, automated red teaming, scalable oversight, etc.</li>\n</ul>\n<ul>\n<li>Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information.</li>\n</ul>\n<ul>\n<li>Build reusable libraries for applying general alignment techniques to our models.</li>\n</ul>\n<ul>\n<li>Proactively understand the safety of our models and systems, identifying areas of risk.</li>\n</ul>\n<ul>\n<li>Work with cross-team stakeholders to integrate methods in core model training and launch safety improvements in OpenAI’s products.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are excited about OpenAI’s mission of ensuring AGI is universally beneficial and are aligned with OpenAI’s charter.</li>\n</ul>\n<ul>\n<li>Demonstrate passion for AI safety and improving global health outcomes.</li>\n</ul>\n<ul>\n<li>Have 4+ years of experience with deep learning research and LLMs, especially practical alignment topics such as RLHF, automated red teaming, scalable oversight, etc.</li>\n</ul>\n<ul>\n<li>Hold a Ph.D. or other degree in computer science, AI, machine learning, or a related field.</li>\n</ul>\n<ul>\n<li>Stay goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.</li>\n</ul>\n<ul>\n<li>Possess experience making practical model improvements for AI model deployment.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Are a team player who enjoys collaborative work environments.</li>\n</ul>\n<ul>\n<li>Bonus: possess experience in health-related AI research or deployments.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed.</p>\n<p>The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<p>We are seeking research engineers and research scientists to help design and implement experiments for alignment research. Responsibilities may include:</p>\n<ul>\n<li>Develop and evaluate alignment capabilities that are subjective, context-dependent, and hard to measure.</li>\n<li>Design evaluations to reliably measure risks and alignment with human intent and values.</li>\n<li>Build tools and evaluations to study and test model robustness in different situations.</li>\n<li>Design experiments to understand laws for how alignment scales as a function of compute, data, lengths of context and action, as well as resources of adversaries.</li>\n<li>Design and evaluate new Human-AI-interaction paradigms and scalable oversight methods that redefine how humans interact with, understand, and supervise our models.</li>\n<li>Train model to be calibrated on correctness and risk.</li>\n<li>Designing novel approaches for using AI in alignment research</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Are a team player – willing to do a variety of tasks that move the team forward.</li>\n<li>Have a PhD or equivalent experience in research in computer science, computational science, data science, cognitive science, or similar fields.</li>\n<li>Have strong engineering skills, particularly in designing and optimizing large-scale machine learning systems(e.g., PyTorch).</li>\n<li>Have a deep understanding of the science behind alignment algorithms and techniques.</li>\n<li>Can develop data visualization or data collection interfaces (e.g., TypeScript, Python).</li>\n<li>Enjoy fast-paced, collaborative, and cutting-edge research environments.</li>\n<li>Want to focus on developing AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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You will partner closely with functional leaders across scaled revenue, demand gen, and marketing to understand desired outcomes, then translate those needs into production-grade systems.</p>\n<p>You will move quickly from ambiguous problem statements to working software in production. Your work will be measured not by output, but by impact: revenue, enterprise pipeline, and Marketing efficiency.</p>\n<p>This role is ideal for engineers who want ownership over real systems, enjoy building 0-&gt;1 products, and are excited to define new categories of AI-native products and workflows.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build autonomous and semi-autonomous customer-facing and internal agentic systems that directly drive Revenue, Pipeline, and Marketing efficiency.</li>\n</ul>\n<ul>\n<li>Own end-to-end product execution, from early prototypes to reliable production systems with strong instrumentation and evals.</li>\n</ul>\n<ul>\n<li>Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment.</li>\n</ul>\n<ul>\n<li>Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements.</li>\n</ul>\n<ul>\n<li>Apply OpenAI models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures.</li>\n</ul>\n<ul>\n<li>Continuously iterate based on live usage, agent behavior, and performance data.</li>\n</ul>\n<p><strong>You’ll thrive in this role if you</strong></p>\n<ul>\n<li>Have 4+ years of experience as a software, product, or ML engineer working on user- or customer-facing systems.</li>\n</ul>\n<ul>\n<li>Have built, deployed, or operated complex systems in production, ideally including agents or automation at scale.</li>\n</ul>\n<ul>\n<li>Are comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end-to-end.</li>\n</ul>\n<ul>\n<li>Are fluent in Python or JavaScript and comfortable building full-stack applications.</li>\n</ul>\n<ul>\n<li>Have hands-on experience with APIs, cloud infrastructure, orchestration, and production monitoring.</li>\n</ul>\n<ul>\n<li>Are curious about modern AI models and excited to experiment with how evolving capabilities change system design.</li>\n</ul>\n<ul>\n<li>Have familiarity with sales, marketing, or go-to-market workflows, or are eager to learn how revenue systems operate.</li>\n</ul>\n<ul>\n<li>Operate with a strong sense of ownership, move quickly, and care deeply about measurable business outcomes.</li>\n</ul>\n<ul>\n<li>Are collaborative, pragmatic, and motivated to build at the frontier of applied AI.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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The team builds agentic, AI-native systems that directly drive revenue, pipeline, and marketing leverage.</p>\n<p>Our mandate is to own and scale autonomous, customer-facing and internal systems that operate at massive scale. This includes building autonomous, customer-facing systems that engage with prospects, generate pipeline and revenue, and shape the future of how marketing and revenue teams operate in an AI-native world.</p>\n<p>We focus on problems that exceed the limits of low-code tools and long-tail workflow automation. 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Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.</p>\n<p>We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.</p>\n<p>A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</p>\n<p><strong>WHY DATA SCIENCE &amp; ANALYTICS?</strong></p>\n<p>The Data Science &amp; Analytics organization&#39;s mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.</p>\n<p><strong>WHY GENERATIVE AI?</strong></p>\n<p>Our team’s mission is to enable Roblox Creators to bring GenAI capabilities to millions of users. We drive this innovation with a core commitment to safety, responsibility, and quality.</p>\n<p>As a Data Scientist, you will play a critical role in evaluation and optimization for user-facing GenAI systems (such as text, image, video, 3D, 4D). You will define how we measure safety, responsibility, quality, and efficiency. You will combine annotation analysis, design of experiments, causal inference, model-based evaluation methods (such as LLM-as-a-judge), optimization algorithm, and AI models to drive product decisions and model improvements.</p>\n<p><strong>You Will:</strong></p>\n<ul>\n<li>Develop Evaluation Frameworks: Design and operationalize rigorous evaluation systems for either GenAI features (text, image, video, 3D, 4D). This includes eval experiment design, dataset design, label reliability analysis, and implementing and finetuning LLM-as-judge methods.</li>\n</ul>\n<ul>\n<li>Run Rigorous Experiments: Conduct online experiments (A/B tests) and causal inference to quantify the impact of GenAI features. You will identify opportunities, measure lift, and ensure statistical rigor.</li>\n</ul>\n<ul>\n<li>Define Success Metrics: Partner with cross-functional teams to define leading/lagging indicators for GenAI feature user satisfaction, business success, and safety.</li>\n</ul>\n<ul>\n<li>Build Automated Systems: Research and apply state-of-the-art methodologies to build reproducible evaluation tooling that lift rigor and efficiency across the company.</li>\n</ul>\n<ul>\n<li>Conduct Applied Research at the Frontier: Maintain an active pulse on the intersection of Gen AI and Data Science. You will innovate on methodology and techniques to solve unique business challenges while contributing to the broader field in the technical community.</li>\n</ul>\n<p><strong>You Have:</strong></p>\n<ul>\n<li>Possess or pursuing a PhD or equivalent in Statistics, Economics, Computer Science, Applied Math, Physics, Engineering, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Technical Proficiency: Strong proficiency in SQL (Hive/Spark) for manipulating large datasets and scripting languages (Python or R) for analysis and modeling.</li>\n</ul>\n<ul>\n<li>Experimentation and Causal Inference: A solid grounding in experimentation, causal inference, and statistical analysis, including test design and metric design for feature impact.</li>\n</ul>\n<ul>\n<li>Problem Solving: A demonstrated track record of framing ambiguous problems, designing analytical approaches, and solving open-ended data science problems that drive business impact.</li>\n</ul>\n<ul>\n<li>Learning Agility: Ability to effectively and responsibly use AI tools to enhance productivity and a passion for continuously improving methods in a fast-evolving field.</li>\n</ul>\n<ul>\n<li>GenAI Familiarity: Familiarity with GenAI models and safety/quality evaluation methods. 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This role sits at the heart of post-training large language models, turning market data into actionable insights for a company that&#39;s revolutionising conversational AI technology. You&#39;ll work directly with the AI Post-Training team to shape the company&#39;s direction in the development of post-training algorithms and models.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. As a Member of Technical Staff, AI Post-Training, you will be responsible for developing data collection, evaluation, and finetuning methods for models. You will design hypotheses and experiment plans for rapidly iterating on model performance. You will prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality. 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