Curated AI safety and governance jobs

The Staff Software Engineer, Data Platform role focuses on designing and developing data platforms that support AI safety and alignment through human evaluation and reinforcement learning.

Manager role in IFS Trust Office focused on AI governance, compliance, risk assessments, model assurance, audit readiness, and customer-facing trust evidence for AI systems.

The role involves creating and optimizing deep learning architectures with a focus on AI safety methods for sensor fusion in autonomous driving.

Intern role focused on creating social media and video content about AI safety and biosecurity.

Expression of interest for a role in the Pannu Lab focused on biosecurity research, including AI for biology and biosafety of AI, with both technical and policy work.

Remote facilitator role for discussion-based learning and mentorship aimed at helping participants pursue careers in AI safety and biosecurity.

The role involves deploying Valthos's platform in customer environments, focusing on understanding user needs and integrating AI systems to address biological threats.

Fellowship conducting research on AI security and technology policy at RAND CAST, a think tank focused on policy and decision-making.

Request for proposals for projects that prepare institutions and policy for advanced AI, including work on market failures and policy gaps related to AI progress.

Expression of interest in future openings at Harmony Intelligence, an AI safety research and engineering company focusing on catastrophic risk evaluations and red-teaming.

Research internship/post-doc role in the COMPASS group focused on AI safety, security, and alignment, including red-teaming and interpretability.

Technical leadership role owning AI safety strategy, leading an AI safety R&D team, and driving evaluations, red-teaming, and safety policy work for frontier labs.

Research Scientist focused on AI evaluation, language model robustness, red teaming, and alignment research for an automated evaluation platform for LLMs.

This role invites individuals to engage in research on AI model threats, participate in evaluations, and influence AI policy initiatives.

Software engineering internship building a reliability platform for LLM applications, with explicit work on evaluation models, dynamic testing, red-teaming, observability, and robustification.

The role focuses on building a platform for training and evaluating interpretable AI systems, emphasizing safety and reliability.

Research role focused on AI security, cyber capability evaluations, and mitigating misuse and dangerous agent capabilities for frontier AI systems.

Research engineer building evaluation and security testing systems for frontier AI models, including capability assessment, evasion testing, and risk mitigation.

The Technical Policy Researcher will address AI security issues, conduct threat modeling, develop taxonomies for AI capabilities, and create policy proposals.