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In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Safety Systems team is at the forefront of OpenAI&#39;s mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.</p>\n<p>The Model Policy team aligns model behavior with desired human values and norms. We co-design policy _with_ models and _for_ models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.</p>\n<p><strong>About the Role</strong></p>\n<p>Providing access to powerful AI models introduces a host of challenging questions when it comes to model safety: How do we define safe behavior for how a model should behave? To what end? How do we do this in such a way that is actionable, objective and sustains replicability?</p>\n<p>This is a senior role in which you’ll help shape policy creation and development at OpenAI and make an impact by helping ensure that our groundbreaking technologies do not create harm. The ideal candidate can identify and develop cohesive and thoughtful taxonomies of harm on high risk topics with a sense of urgency. They can balance internal and external input in making complex decisions, carefully think through trade-offs, and write principled, enforceable policies based on our values. Importantly, this role is embedded in our research teams and directly informs model training.</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’ll:</strong></p>\n<ul>\n<li>Design model policies that govern safe model behavior in an objective and defensible way - e.g. how should the model respond in risky/unsafe scenarios? What does unsafe mean? How do we achieve safety while preserving beneficial model capabilities?</li>\n</ul>\n<ul>\n<li>You will develop taxonomies that inform data collection campaigns, model behaviour and monitoring strategies and also toe the line between maximizing utility and preventing catastrophic risk.</li>\n</ul>\n<ul>\n<li>Lead prioritization for safety efforts across the company for new model launches, understanding and addressing technical and business trade-offs.</li>\n</ul>\n<ul>\n<li>Develop a broad range of subject matter expertise while maintaining agility across topics.</li>\n</ul>\n<ul>\n<li>You will work across many internal teams which will require high organizational acumen and confident decision making.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have extensive experience researching LLMs, ML, AI, tech policy, moral reasoning, and/or enjoy classification problems.</li>\n</ul>\n<ul>\n<li>Have extensive experience defining, refining and enforcing policies for ML models across training, evaluation, and deployment.</li>\n</ul>\n<ul>\n<li>Understand the practical challenges of translating policy into model behavior across the full training stack, and can incorporate these constraints into policy design.</li>\n</ul>\n<ul>\n<li>Can reason about the benefits and risks of open-ended problem spaces, generate novel approaches under ambiguity, and take full ownership of end-to-end solutions from concept through execution.</li>\n</ul>\n<p><strong>Most relevant publications:</strong></p>\n<ul>\n<li>Introducing HealthBench</li>\n</ul>\n<ul>\n<li>Preparing for future AI capabilities in biology</li>\n</ul>\n<ul>\n<li>Safety evaluations hub</li>\n</ul>\n<ul>\n<li>OpenAI GPT5 System Card</li>\n</ul>\n<ul>\n<li>Evaluating Fairness in ChatGPT</li>\n</ul>\n<ul>\n<li>Improving Model Safety Behavior with Rule-Based Rewards</li>\n</ul>\n<ul>\n<li>OpenAI Model Spec</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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A key part of achieving that mission is training models that deeply understand and reflect human preferences — the <strong>Human Data</strong> team is at the heart of that effort.</p>\n<p>The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life — from experimental ideas to production-ready feedback loops.</p>\n<p><strong>About the Role</strong></p>\n<p>We’re looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You’ll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world.</p>\n<p>We’re looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.</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>Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.</li>\n</ul>\n<ul>\n<li>Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.</li>\n</ul>\n<ul>\n<li>Design and iterate on user-facing tools and backend services to support high-quality data workflows</li>\n</ul>\n<ul>\n<li>Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms</li>\n</ul>\n<ul>\n<li>Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have strong software engineering fundamentals and experience building production systems at scale</li>\n</ul>\n<ul>\n<li>Enjoy full-stack development with end-to-end ownership — from backend pipelines to user interfaces</li>\n</ul>\n<ul>\n<li>Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems</li>\n</ul>\n<ul>\n<li>Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values</li>\n</ul>\n<ul>\n<li>Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness</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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