AI Safety Red Teamer

About this role

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.