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.
Lead teaching and curriculum for ML4Good’s AI safety bootcamps, including technical and governance curricula and new programs related to frontier AI and law.
Frontier AI and biosecurity researcher role focused on threat modeling, benchmark development, red-teaming, and mitigation strategies for biological risks from AI systems.
Engineer role focused on building automated evaluation frameworks, benchmark integration, and safety products for frontier large models and AI agent systems.
Frontier AI safety research role focused on safety benchmarks, red-teaming, quantitative risk modeling, and mitigation methods for large models and AI agents.
Research role focused on frontier AI and chemistry safety, including threat modeling, benchmark development, red-teaming, and mitigation strategies for chemical security governance.
Cyber-focused AI red teaming role evaluating model cyber capabilities, safeguards, and abuse risks in agentic systems, with direct responsibility for safety evaluations and risk assessments.
Research scientist role leading frontier AI safety risk modeling and governance for Google DeepMind’s Frontier Safety Framework, including risk assessment, safeguards evaluation, and external safety reporting.
Research engineer role on DeepMind's Frontier Safety Mitigation team building safety mitigations, evaluations, red-teaming, monitoring, and defenses against severe misuse and agentic risks for frontier models.
Research role on OpenAI’s Frontier Assurance team focused on external evaluations, embedded audits, safeguard testing, and technical assessments of frontier AI risks.
Engineering role building open-source tools and web apps for AI model evaluation and understanding, in direct collaboration with AI Safety Institutes and evaluation researchers.
Research engineer role building AI evaluation and alignment auditing tools, including Petri audits, scanners, monitors, LLM judges, and reliability measurement for safety-focused evaluations.
Research engineer role focused on frontier AI safety mitigations, including misuse detection, automated evaluation, threat modeling, red-teaming, and adversarial robustness for agentic systems.
Lead role focused on safety evaluation and security testing for LLM and agentic AI systems, including red-teaming, jailbreak testing, threat modeling, and AI governance/compliance documentation.
Research Scientist role focused on AI evaluation, language model understanding, robustness, red teaming, automated evaluation, and alignment research.
Staff+ fullstack software engineer role on Anthropic’s Safeguards team building safety and oversight systems for AI models, including misuse prevention, model behavior detection, and human review tooling.
Research Engineer on the Eval Platform team building infrastructure for reproducible, scalable model evaluations and dashboards used by researchers to assess model quality.
Research engineer role focused on building and operating SimpleAudit for AI safety audits, red teaming, and safety evaluations of language models and AI systems.
Remote research management role mentoring AI safety fellowship mentors, supporting research leads, team management, and research quality across SPAR.
Senior engineering leadership role building the engineering systems, tools, and team for FAR.AI’s frontier AI red-teaming program, including safety evaluations, attacker simulation, and harmfulness evaluation for frontier models.
Project Officer role focused on building a secure cyber-range to evaluate AI agents and frontier models in cybersecurity, including red-team/blue-team scenarios and vulnerability testing.