Curated AI safety and governance jobs

The Research Engineer will design AI monitoring systems to analyze large datasets, focusing on misuse prevention and model audits, collaborating with safety teams.

The role focuses on prompt engineering and evaluation development to ensure AI model quality and safety, collaborating with product teams to enhance user experiences.

The Program Operations Manager will oversee the operational processes of the Human Data team, ensuring effective collaboration with external experts to enhance AI safety and functionality.

The Product Manager for Developer Productivity at Anthropic will oversee the developer experience and governance frameworks for AI-assisted development, ensuring safe collaboration between engineers and AI agents.

The Privacy Research Engineer at Anthropic will focus on developing privacy-preserving techniques and policies to ensure responsible handling of user data in AI systems.

The Policy Design Manager will develop usage policies and safety interventions focused on age-appropriate design, ensuring child safety and responsible AI use.

The Policy Counsel will support public policy and legal initiatives related to AI technology and regulation, focusing on developing governance frameworks and navigating emerging policy challenges.

The Partner Solutions Architect will focus on technical partnerships and collaboration with cloud providers to enhance AI practices, emphasizing safe and beneficial AI systems.

The Partner Business Systems & AI Operations Lead at Anthropic is responsible for managing partner systems, ensuring data quality, and implementing AI-powered automation in partner workflows.

The role involves researching and mitigating risks associated with AI systems, focusing on vulnerabilities and misuse of large language models.

The Model Quality Software Engineer will set technical direction for evaluation systems and research infrastructure, focusing on improving AI model capabilities and ensuring safety in AI systems.

The ML/Research Engineer, Safeguards role at Anthropic focuses on developing systems to detect and mitigate misuse of AI, ensuring safety and compliance in AI systems.

The ML Infrastructure Engineer, Safeguards at Anthropic will build and scale infrastructure for AI safety systems, ensuring models operate safely and reliably.

The Manager of Solutions Architecture will lead a team to drive the adoption of AI technologies in enterprise settings, focusing on reliability and safety.

The Manager of Applied AI Architecture, Partnerships at Anthropic will lead a team to drive the adoption of frontier AI while ensuring safety standards are upheld in partnerships with cloud providers and system integrators.

The Manager of Applied AI Architecture will lead a team to drive the adoption of AI systems in enterprise tech, focusing on safety, reliability, and beneficial AI deployment.

The Manager, Forward Deployed Engineering at Anthropic will lead a team focused on the responsible deployment of AI systems, ensuring quality and safety in customer engagements.

The Manager, Commercial Counsel, GTM will lead the legal team in shaping how AI technology reaches users and enterprises, focusing on commercial agreements and responsible AI development.

The role involves building and improving systems for training AI models, focusing on performance, robustness, and safety.

The IT Systems Engineer role focuses on managing enterprise SaaS platforms with an emphasis on governance, compliance, and security, contributing to AI safety initiatives.