Curated AI safety and governance jobs

State and local government affairs lead focused on advancing AI policy, legislation, and regulation across Western states, including legislative tracking, stakeholder engagement, and representing Anthropic's positions.

Research scientist role developing and evaluating white-box methods to improve AI system safety and alignment, with emphasis on realistic evaluations, agentic coding, and threat models.

Senior research leadership role focused on AI compute verification, including adversarial testing, verifiable claims, and compute governance-related research.

Technical Program Manager role leading GenAI Safety operations for Gemini and related models, coordinating training, evaluations, red teaming, and safety/alignment initiatives.

State and local government affairs lead focused on advancing AI policy, legislation, and regulation across the Midwest, with direct responsibility for AI-related legislative and regulatory engagement.

Senior manager role leading AI safety delivery, including frontier model evaluations, red teaming, safeguard testing, and client advisory work with government and frontier labs.

Senior consultant role defining Responsible AI governance, risk controls, explainability, AI security/red-teaming orchestration, and regulatory compliance for AI and GenAI systems.

Researcher role at ARC focused on AI alignment research, mechanistic understanding of neural networks, and developing training objectives that encourage honest internal reporting.

Senior staff software engineering role on OneTrust's AI Governance Engineering team building platform capabilities for AI governance, compliance, safety, observability, controls, and agent runtime management.

Senior ML Engineer on Experian’s AI Safety team focused on Responsible AI governance, safety evaluations, red-teaming, interpretability, and model risk/regulatory review for GenAI systems.

Program Manager for an AGI Preparedness Network, leading delivery of fellowship and collaboration programs focused on advanced AI risks, preparedness, governance, and field-building.

Postdoctoral researcher in explainable AI focused on interpreting deep model internals, human-in-the-loop workflows, and rigorous evaluation of interpretability claims; relevant because it explicitly connects interpretability to AI safety and assurance evaluation.

Research scientist role on Gemini Safety and Behavior focused on LLM safety/security, jailbreak mitigation, red and blue teaming, and safety/alignment work for frontier GenAI models.

Penetration tester for Bosch's AI Safety & Security team, running safety evaluations and red-teaming against LLMs and agentic AI systems to find harmful outputs, prompt injection, and tool abuse.

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

Research role building zero-knowledge verification tools for AI datacenters and frontier model inference, with direct work informing policymakers on how verification can support AI governance and international cooperation.

Regulatory operations role focused on AI governance, EU AI Act/DSA compliance, risk evaluations, escalations, and building operational workflows and tooling for user safety and regulatory compliance.

Research Scientist role focused on frontier AI safety and security research, including AI system evaluations, audits, model behavior analysis, robustness, and policy compliance.

Product Manager role focused on Anthropic Safeguards systems for frontier models, including safety-by-design, safety evals, detections, interventions, and mitigation of deployment and user risks.