Role brief
Job description
We are seeking experienced **AI Safety Red Teamers** to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts, uncover model weaknesses, and evaluate AI behavior across complex, high-risk, and ambiguous ("grey-area") topics.
## Responsibilities
– Design adversarial prompts to stress-test frontier AI models.
– Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures.
– Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other sensitive domains.
– Document vulnerabilities and contribute to safety benchmarking and red-teaming reports.
– Collaborate with AI researchers to improve model alignment, robustness, and safety.
## Required Qualifications
– Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related discipline.
– 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or a related field.
– Strong analytical reasoning, prompt design, and written communication skills.
– Experience designing adversarial prompts or evaluating frontier AI systems.
## Preferred Qualifications
– Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.
– Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.
– Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.
## Why Join?
– Help secure and strengthen the next generation of frontier AI models.
– Work on cutting-edge adversarial testing alongside leading AI researchers and safety teams.
– Influence how AI systems respond to complex, real-world safety challenges.