OpenAI
AI
ModelPolicy
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Model Policy at OpenAI. Skills: Model policy design, AI safety, Risk mitigation, Behavioral specification, Evaluation criteria definition, Policy operationalization. Design and maintain model policies across safety-relevant domains. Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards”
What You'll Achieve.
Align model behavior with desired human values and norms; Drive rapid policy taxonomy iteration based on data; Define evaluation criteria for foundational models’ ability to reason about safety; Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes; Ensure policies can be reliably measured and improved
Industry & Context.
Reason from first principles; Turn ambiguity into practical model behavior; Turn fuzzy questions into structured policy frameworks, evaluation criteria, operational guidance, and enforceable model behavior
Relocation support to new employees, Three days in the office per week with optional work from home on Thursdays and Fridays
What They're Looking For.
Must Have
Experience building or applying policies, taxonomies, harm models, threat models, or risk frameworks for complex technical, social, or adversarial systems, Technical judgment about what model behavior can realistically be trained, measured, evaluated, and enforced at scale, Ability to move across domains without needing to be the deepest subject-matter expert in every area, while knowing when to seek expert input, Ability to turn fuzzy questions into structured policy frameworks, evaluation criteria, operational guidance, and enforceable model behavior, Comfortable using empirical evidence, including evaluations, red-teaming results, deployment observations, and model failure modes, to inform policy decisions, Ability to think in systems across policy, data, graders, classifiers, training, deployment safeguards, measurement, monitoring, and escalation workflows, Ability to write clearly about complex tradeoffs where safety, user value, and implementation constraints all matter, Pragmatic approach to safety, focused on reducing real-world risk while preserving legitimate, beneficial, and socially valuable uses of AI
Nice to Have
Specific expertise or speciality related to this work
What You'll Do.
Design and maintain model policies across safety-relevant domains
Translate risk and harm models into clear behavioral specifications
and system-level safeguards
Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm
Build policy artifacts that support model training
Use red-teaming results
and ambiguous edge cases to improve policy and evaluation quality over time
Identify emerging capability areas where frontier AI systems could create new safety challenges or lower barriers to harm
Study real-world deployments to identify where model behavior succeeds
or drifts from the intended safety posture
Combine longer-horizon safety research with hands-on launch and deployment work
Contribute to system cards
and external communications on OpenAI's approach to model safety and risk mitigation
Design and run human data campaigns
including gold set construction
and eval coverage analysis
to ensure policies can be reliably measured and improved
How You'll Work.
Team & Collaboration
Work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk; Partner with safety researchers, engineers, product teams, and other stakeholders to operationalize policy into scalable model behavior and measurable safeguards; Work well across research, engineering, product, policy, domain experts, and operational teams
Communication Scope
Write clearly about complex tradeoffs where safety, user value, and implementation constraints all matter
Full Job Description
About the Team Our Safety Systems https://openai.com/safety/safety-systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, 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. About the Role If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note. Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce? In this role, you will help define how OpenAI’s models should behave in high-risk or high-ambiguity contexts, such as agentic systems, multimodal systems, user safety, privacy, and other emerging risk domains. This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk. In this role, you will: - Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas. - Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards. - Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes. - Build policy artifacts t
Applying for this Model Policy role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about OpenAI?
Real rants from real employees. Read before you apply.