Transluce

Governance & Policy Fellow

San Francisco, USA · Part-time

Sponsorship not specified$200k-$300kDetected 173 days ago

ResearchCommunication

About the role

This is a unique opportunity to work directly with researchers at the cutting edge of AI, interact with top labs and government stakeholders, and help shape the direction of a growing team.
This role is ideal for someone with a hybrid technical and policy background interested in working on problems that require both-helping to define how independent AI evaluation should work in practice.
Our governance team is new, the mandate is broad, and the right person will be deeply involved in defining priorities and strategy.

Develop partnerships enabling impactful, interdisciplinary AI evaluations.
This also includes supporting and expanding Transluce's established contracts, grants, and support relationships with government AI evaluators and regulators, including the U.S. Center for AI Standards and Innovation, the EU AI Office, and the UK AI Security Institute.

Technical fluency in AI evaluation issues.
You're excited to engage in deep conversations with technical researchers.
You understand how AI systems are tested, what makes evaluations rigorous, and you can translate technical work for broader audiences.
Hands-on policy or legal experience related to AI.
You can craft policy approaches that have meaningful impact because you've seen how policy is made and how institutions work-ideally from inside government (at any level) or from practicing law in a relevant context.
Experience with academic research.
You're comfortable with academic writing, understand norms around authorship and publication, and can produce high-quality research outputs.

$200,000 - $300,000/year + benefits Description: Transluce is an independent nonprofit AI research lab.
Our mission is to advance an industry standard for AI oversight and to develop the technology that enables it.
We believe that thoroughly understanding AI systems, at scale, is essential to ensuring they serve the public interest.

This means proactively identifying areas that would benefit from outside expertise and building and maintaining relationships with leaders across relevant fields.
This includes educating policymakers on the science of AI oversight, the importance of independent evaluators, and our substantive findings on topics like model behavior, mental health, and child safety.
This includes the challenge of making deep research topics broadly accessible to a general audience in areas like reinforcement learning and AI interpretability.
Background or prior experience in particular domain(s) related to mental health, child safety, fraud, political persuasion, or consumer protection.

Qualities of a strong candidate: We're looking for someone with a genuinely hybrid background-technically fluent but also grounded in policy, law, or governance.

This listing is sourced directly from Transluce's careers page and normalized into a canonical job model.