Curated roles
Explore roles in AI red teaming, evaluations, model behavior testing, adversarial assessment and safety measurement.
15 active roles found.
Junior software engineering role focused on AI security, including AI red teaming, adversarial machine learning, and building tools and prototypes for AI security applications.
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.
The Biosafety Red Teaming Specialist will lead efforts to identify and mitigate biological and chemical risks associated with AI systems, focusing on red teaming and misuse prevention.
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.
Software engineer role focused on AI security, including AI red teaming, adversarial machine learning, and building tools and prototypes for AI security applications.
Frontier AI researcher leading automated red teaming to find model weaknesses, generate attacks, and turn findings into evaluations and robustness improvements.
A 4-month AI Security Fellows research program at Anthropic focused on AI safety/security projects, including red teaming and control evaluations, with mentorship and funding for empirical research.