Curated AI safety and governance jobs

This role involves supporting CivAI's mission to educate policymakers about AI risks, preparing briefings on AI developments, and developing strategies for outreach.

The Engineering Manager for Enterprise at Anthropic will lead a team to build systems that ensure compliance and readiness for enterprise deployment of AI, focusing on security and regulatory requirements.

The Abuse Investigator role involves investigating harmful activities on OpenAI's platform, focusing on threats to public safety, and developing detection strategies to mitigate risks associated with AI systems.

Lead a research program on Provable AI Safety, focusing on building AI systems that verify their own correctness and collaborating with teams to advance AI safety.

The role involves identifying and analyzing AI/ML security vulnerabilities, participating in threat modeling for AI systems, and evaluating AI model robustness through security tests.

The role involves architecting systems for AI security testing and evaluation, focusing on adversarial methodologies and red teaming exercises.

This bootcamp develops technical expertise in AI safety, covering transformers, LLMs, interpretability, alignment strategies, and technical governance.

This bootcamp focuses on AI safety governance and strategy, covering risks, policy frameworks, and practical skills in governance analysis.

The role involves designing and conducting evaluations of AI harmful manipulation to support EU AI Act enforcement, including developing risk scenarios and performing model behavior investigations.

The Technical Project Manager will coordinate research efforts focused on harmful-manipulation evaluations for the EU AI Office, contributing to AI compliance and risk management.

As a Backend Engineer, you will work on building products that monitor AI coding agents for safety and security failures, contributing to AI safety research and practical tools.

The Applied Control Researcher will work on AI safety by designing and implementing control protocols, conducting experiments to test monitoring effectiveness, and developing systems to reduce risks from AI.

The role involves developing software and infrastructure for AI safety research, including evaluation frameworks and tools for assessing frontier AI models.

The Research Engineer for Code RL will advance AI models' coding capabilities, ensuring safety and effectiveness through collaboration with alignment and red teams, focusing on responsible AI development.

The Agentic Risk Analyst role focuses on identifying and mitigating risks associated with AI systems, ensuring safe deployment and compliance with responsible AI practices.

The Product Manager for the Safeguards team will lead the development of safety systems and tools to mitigate risks associated with powerful AI models, ensuring safe deployment and user protection.

Support Turner & Townsend's AI governance, privacy, data protection and compliance programmes on a 6-month fixed-term contract, with a focus on AI inventories, data governance, regulatory compliance and privacy best practices.

The role involves conducting AI alignment research focusing on model safety and interpretability, designing experiments, and evaluating deep learning models.

Lead an ML research team focused on AI safety, managing technical strategy and guiding cross-functional teams to tackle complex ML challenges.

The Digital Media Accelerator supports creators producing content that raises awareness about AI developments and issues, particularly regarding AI safety and risk.