Curated AI safety and governance jobs

Research fellowship focused on AI alignment and safety research, including alignment challenges in language models and multimodal systems, with work on robustness, interpretability, and evaluation.

Research scientist role on DeepMind’s GenAI Safety team focused on production safety oversight for deployed models, including automated evaluations, misuse detection, and monitoring model alignment and misbehavior.

Product Manager role for Anthropic’s Safeguards team focused on building safety systems, safety evals, detections, and interventions to mitigate misuse and deployment risks for frontier AI products.

Model Policy Manager role at OpenAI focused on defining policies for safe frontier model behavior in U.S. government and national security contexts, including evaluations and policy gap analysis.

Manager role focused on multimodal model safety policy at OpenAI, designing behavioral safety policies, evaluation criteria, and safeguards for frontier AI models.

Program lead for BlueDot Impact’s Technical AI Safety Project Sprint, owning project scoping, participant selection, review, and acceleration for newcomers doing technical AI safety projects.

Research scientist role focused on AI safety, alignment, and model reliability for autonomous driving and ADAS, including safety validation, edge-case evaluation, and robust system behavior.

Penetration tester on Bosch's AI Safety & Security team, performing safety evaluations and red-teaming of LLMs and agentic AI systems to find prompt injection, jailbreak, and tool-abuse issues.

Lead role focused on AI safety evaluations and security testing for LLMs and agentic AI systems, including red-teaming, prompt injection testing, and producing governance/compliance evidence.

Lead BlueDot Impact’s technical AI safety course, owning curriculum, strategy, admissions, and participant acceleration for a program that trains people entering AI safety.

State-level AI policy role supporting policymakers with AI governance, policy briefings, pilot projects, and tracking AI policy developments; relevant because it directly focuses on AI policy and governance.

Program lead for BlueDot Impact’s Frontier AI Governance course, owning strategy, curriculum, participant selection, and talent acceleration for the AI governance field.

Senior AI researcher role focused on post-training evaluation, red-teaming, and RL gym audits for open-weight LLMs, with direct work on security capabilities and defensive alignment against indirect prompt injection.

Senior advisory contractor role focused on advanced AI risks, loss-of-control scenarios, safeguards, incident prevention, and translating technical research into policy and operational guidance.

Communications and outreach role at Cedar Research focused on promoting AI safety work through writing, video, outreach, and possibly helping run human studies.

Manager role focused on agentic safety and model policy for frontier AI systems, turning alignment and misalignment risks into behavioral policies, evaluations, monitoring, and safeguards.

Seoul-based public policy lead for Anthropic focused on AI governance, AI regulation, and AI safety engagement with Korean government and stakeholders.

Mathematical research role focused on AI safety, including theoretical problems and novel mathematical approaches to safety challenges.

Winter research fellowship focused on EU AI law and policy, especially the EU AI Act, with research and advisory work related to AI governance and regulation.