Applied Risk Standards Specialist

About the Team

OpenAIs mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly our Global Affairs team builds authentic collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and in collaboration with our colleagues and external stakeholders seek to shape policy so that it aligns with and supports our mission.

About the role

OpenAI is looking for an Applied Risk Standards Specialist to lead standards work for applied risk in applications including mental health youth safety age assurance functional efficacy reliability and privacy-related risks. You will help turn internal research safety policies and evaluation methods into technically sound measurable and adaptable standards that build public trust and support responsible deployment.

This role sits within our AI standards and global assurance function in Global Affairs. Working closely with Safety Systems Research Product Model Policy Legal and third-party evaluators you will author proposals negotiate requirements and represent OpenAI in priority standards bodies. You will take on the drafting and external engagement needed to advance this work enabling technical experts to focus on the underlying methods and evidence. You will also bring emerging requirements back into internal planning before they become established expectations.

Alongside this primary portfolio you will support the AI Standards and Global Assurance Lead on frontier AI assurance contributing to risk-management standards evaluation and benchmarking requirements and approaches to independent assessment.

The role connects technical practice with external standards. It does not replace the teams responsible for evaluation methods safety decisions controls internal compliance or implementation. You will own standards drafting review coordination negotiation and assessment-design contributions within an agreed mandate.

In this role you will

• Lead the development of applied AI risk standards. This includes working with technical and policy teams to define and advance standards for mental health youth safety age assurance efficacy reliability and privacy-related risks with a particular focus on evaluations and assessments.

• Work with technical owners to turn research internal policies and evaluation methods into credible test methods assessment criteria and standards grounded in real system behavior.

• Bring emerging requirements into internal planning and work with responsible teams to clarify their implications for evaluations controls and assurance for our products.

• Work with technical and GRC partners on assessor competence independence conflicts of interest evidence access reporting and the distinction between management-system audits and technical evaluations.

• Contribute drafting representation and coordination on frontier risk-management and independent-assessment standards.

• Lead assigned standards-body workstreams negotiate proposals and coordinate internal input reducing the external engagement burden on technical experts. Contribute to relevant ISO/IEC INCITS NIST consortium and cross-industry work.

• Maintain clear approvals negotiating positions contribution records and implementation handoffs so that external commitments remain connected to technical owners and available capacity.

You might thrive in this role if you

• Have technical depth in evaluation science AI evaluations and red teaming AI safety or trust and safety combined with demonstrated ability to translate that expertise into credible standards or assessment methods.

• Have authored or materially shaped standards evaluation criteria control frameworks or normative technical contributionsnot only coordinated participation.

• Can translate a broad safety objective into a clear requirement and explain what evidence would demonstrate that it has been met.

• Understand the differences among organizational risk-management processes model and system evaluations mitigation testing and broader assurance claims.

• Can evaluate sensitive context-dependent outcomes including uncertainty and variation across users and use cases without overstating what a benchmark or assessment can establish. You do not need to be an expert in every risk domain.

• Understand how assessor competence independence incentives and access affect the credibility of an assessment.

• Can build consensus without sacrificing technical rigor and know when to compromise challenge a proposal or escalate a decision.

• Earn trust with technical teams while communicating clearly with lawyers executives policymakers and external standards participants.

• Write precisely exercise discretion and can independently move a defined workstream from initial proposal through review negotiation and handoff.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

IC