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.
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.
Evaluation Engineer role focused on LLM evaluation frameworks, evaluation infrastructure, and production-readiness metrics for enterprise AI systems.
A 3-month full-time AI safety research fellowship with mentorship, reading groups on AI risks, and a final symposium in Cape Town.
Part-time mentor role supervising 3-month research projects for aspiring researchers in AI safety, policy, governance, or biosecurity.
3-year PhD fellowship researching safety and security evaluation of deployed AI systems, including evaluation, red-teaming, monitoring, and vendor-independent auditing tools for high-stakes deployments.
Technical communications role translating AI research for policymakers, media, and the public, with explicit responsibility for communicating AI safety and responsible AI research.
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.
Senior hands-on product engineering role building analyst software for verification decisions and AI misuse prevention in a biosecurity-focused trusted-access layer.
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.
Senior virologist role on DeepMind's Responsible Development and Innovation team focused on biology evaluations, LLM safety assessments, harm frameworks, and mitigation strategies for safe model releases.
Operations role supporting ARENA’s technical AI safety bootcamps, including participant selection, programme logistics, and operational improvements for an AI safety training organisation.
Senior virology and biosecurity role at DeepMind focused on evaluating frontier AI models against biological threats, shaping biosecurity mitigation strategies, and embedding safety protocols into model development.
Research Manager for an AI safety research training programme, supporting teams, technical enablement, proposal evaluation, and participant development.
Founding Engineer on SaferAI’s Evaluations team, building infrastructure for model evaluations and helping run mitigation-focused safety evaluations for frontier AI labs.
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.
Project-based adversarial evaluation and red teaming network for frontier AI systems, with work spanning ML security, prompt injection/jailbreaking, agentic system evaluation, and translating findings into governance and mitigation decisions.
Lead threat modeling for CBRNe risks in advanced AI systems, building evaluations and safety frameworks to inform deployment decisions and mitigate dual-use misuse.