Curated roles
Explore roles in AI red teaming, evaluations, model behavior testing, adversarial assessment and safety measurement.
20 active roles found.
Associate role on Faculty’s AI Safety team supporting frontier model evaluations, AI safety red teaming, and delivery of responsible AI projects for government and industry clients.
Associate role on Faculty’s AI Safety team supporting delivery of frontier model evaluations, AI safety red teaming, and related client projects for government and industry.
Assistant AI Security Software Engineer focused on AI security research, AI red teaming, adversarial machine learning, and building tools for AI security applications.
Staff software engineer building web applications and backend systems for AI model evaluation, real-time threat detection, and adversarial red teaming for frontier AI deployments.
Senior full-stack software engineer role building AI model evaluation, threat detection, and adversarial red teaming products for frontier labs.
Lead role overseeing GenAI safety research and delivery, including adversarial testing, risk evaluations, red teaming methodology, and client-facing safety deliverables.
Research Scientist role focused on AI evaluation, language model understanding, robustness, red teaming, and alignment for LLM evaluation infrastructure.
Engineering fellowship supporting AI abuse detection, red teaming, and related research/engineering work across software, data, and ML concentrations.
Offensive security/security researcher role focused on protecting agentic AI systems through AI safety work, red teaming, and model-security risk assessment.
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.
Editorial role on OpenAI’s Safety Systems team focused on producing and improving public-facing transparency materials about technical safety work, including evaluations, safeguards, red teaming, and deployment decisions for frontier models.
Research Scientist role studying latent structure and behavior in neural networks, with explicit emphasis on understanding as safety, safety-relevant tools, and internal red teaming.
Senior analyst role at OpenAI focused on assessing and mitigating agentic risks across products and platforms, using evaluations, red teaming, investigations, and cross-functional risk coordination.
Fellowship focused on adversarial red teaming and model evaluations for AI systems, identifying vulnerabilities, safety risks, and failure modes.
Machine Learning Engineer building AI safety and security systems, including abuse detection, frontier model evaluations, and red teaming workflows.
Strategic partnerships role for Scale's Red Team and Safety function, managing frontier-lab engagements focused on AI red teaming, adversarial evaluations, and safety testing of frontier models.
Research fellowship focused on investigating emerging threats to AI systems using open-source intelligence and targeted investigation, with direct connection to adversarial red teaming and model evaluations.
Expression of interest for AISI's Red Team, which researches and stress tests frontier AI systems through red teaming, alignment, misuse, and control evaluations.
Research Scientist focused on AI evaluation, language model robustness, red teaming, and alignment research for an automated evaluation platform for LLMs.
Senior research role focused on AI safety research, frontier-model red teaming, and evaluations in high-risk domains.