Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
357 active roles found.
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.
Mathematical research role focused on AI safety, including theoretical problems and novel mathematical approaches to safety challenges.
Postdoctoral researcher role on multilingual mechanistic interpretability, including circuit analysis, controlled validation with backdoored model suites, and work that feeds into safe agentic system design.
A remote global funding call for founders to start new organizations tackling critical AI safety problems, including alignment moonshots and frontier capabilities work.
Staff+ software engineer role building production ML infrastructure for Claude's safety systems, including safety deployments, monitoring, and productionizing safety research.
Postdoctoral research role on safe, controllable agentic AI, combining runtime behavioral control, normative constraints, integrated evaluation, and publication in AI safety and formal methods venues.
Research engineer role studying whether values persist after reinforcement learning, using training pipelines, evaluations, and interpretability methods to analyze model behavior and alignment.
Fully-funded PhD position researching responsible machine learning, with explicit focus on AI safety and robust alignment in multi-agent LLM systems.
Research scientist role in Resolution’s philosophy program focused on AI alignment research, including conceptual analysis, empirical hypotheses, and evaluation methods for aligned ASI.
Senior SRE role on Anthropic's Safeguards ML Infra team, focused on deploying, verifying, and operating production safety infrastructure and safety classifiers for frontier model launches.
Program manager for the Canadian AI Safety Institute research program, supporting AI safety initiatives, research partnerships, proposal calls, and related events.
Research role on agent safety, oversight, evaluations, red-teaming, and system-level mitigations for increasingly capable AI agents operating safely and autonomously.
Lead research role at an AI safety organization focused on frontier model risks, misalignment, loss of control, harmful manipulation, and rigorous model evaluation research.
Research manager/generalist for SPAR, an AI safety research fellowship, supporting mentors and mentees, cohort programming, and program operations in the AI safety ecosystem.
Hands-on management role leading Anthropic’s biological safety research engineering team, focused on frontier model evaluations, safety classifiers, red-teaming, and deployment safeguards to prevent catastrophic misuse.
Leads a portfolio of new Kairos programs and ecosystem infrastructure projects aimed at advancing AI safety and reducing risks from advanced AI.
Founding lead for Kairos Labs, an incubator that will design, launch, and support new AI safety organizations and projects.
Lead Kairos’s AI safety university groups portfolio, setting strategy, launching new initiatives, and managing the team supporting AI safety fieldbuilding.