Curated roles
Browse remote-friendly roles across AI safety, governance, policy, evaluations, compliance and responsible AI teams.
190 active roles found.
ML Research Engineer focused on training, post-training, and evaluating LLMs, including alignment methods and safety/moderation-related datasets and policy systems.
Research role building adversarial agent environments, evaluations, and tooling to study AI system failures, misalignment, and unsafe behaviors.
Research engineer role building an AI safety argumentation platform using ontologies, knowledge graphs, defeasible argumentation, and LLM-assisted pipelines to support AI risk management and governance communications.
Contract role focused on monitoring and enforcing abuse on AI products, including building detection, review, and enforcement systems for high-risk harms.
Engineering fellowship supporting AI abuse detection, red teaming, and related research/engineering work across software, data, and ML concentrations.
Part-time mentor role supervising 3-month research projects for aspiring researchers in AI safety, policy, governance, or biosecurity.
Lead end-to-end hiring and talent operations for an AI safety and policy nonprofit focused on reducing risks from advanced AI.
Machine Learning Engineer building language-model products, evaluation systems, and trust/transparency features for research and decision-making. Relevant because the role explicitly includes model evaluations and process supervision for more trustworthy AI systems.
Manages end-to-end AI alignment research projects, coordinating technical teams, collaborators, and funders on model safety and interpretability work.
Part-time remote teacher for a 14-week technical AI safety program, leading lectures, AI safety sessions, and participant support on alignment-related topics.
OpenAI program soliciting proposals for defensive AI applications in life sciences and public health, including biodefense, preparedness, biosurveillance, and responsible public-benefit distribution.
Senior solutions architect/sales engineer role centered on AI governance, model risk management, compliance, and regulatory alignment for financial services AI systems.
Safeguards enforcement analyst for Anthropic’s account abuse team, focused on AI product misuse prevention, compromise response, and policy enforcement workflows.
Analyst role on Anthropic’s account abuse team focused on enforcement workflows, identity verification, access controls, and policy enforcement for safe AI product use.
Research Engineer/Scientist on SaferAI’s Evaluations team, focused on model evaluations, threat modeling, risk reports, and safety mitigations for frontier AI labs.
Founding Engineer on SaferAI’s Evaluations team, building infrastructure for model evaluations and helping run mitigation-focused safety evaluations for frontier AI labs.
Customer Success role helping enterprises implement AI governance, policy, testing, monitoring, and compliance workflows using ModelOp's AI lifecycle governance platform.
Trust & safety / safeguards analyst role at Anthropic focused on enforcing policies against misuse of AI systems, including influence operations, election interference, and surveillance harms.
Red team role on Anthropic's Safeguards team focused on adversarial testing of deployed AI systems, model jailbreaking, prompt injection, and detecting novel abuse in frontier AI products.
Co-lead author role updating a technical AI governance paper, involving literature review, expert coordination, synthesis, and publication-ready writing.