AI Safety Red Team Expert – Frontier Model Testing

Obsidian; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Obsidian seeks 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 high-risk topics.

You will document findings, contribute to safety benchmarking and red-teaming reports, and collaborate with AI researchers to improve alignment, robustness, and safety in real-world deployments.

Qualifications

• Bachelor's degree or higher in CS, cybersecurity, journalism, communications, psychology, biology, chemistry, public policy, or related field.
• 5+ years of professional experience in AI Safety, AI Red Teaming, Trust & Safety, cybersecurity, investigative journalism, life sciences, or related field.
• Strong analytical reasoning, prompt design, and written communication skills.
• Experience designing adversarial prompts or evaluating frontier AI systems.

Responsibilities

• Design adversarial prompts to stress-test frontier AI models.
• Identify jailbreaks, unsafe behaviours, hallucinations, and policy failures.
• Evaluate model robustness across misinformation, cyberbiosecurity, 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.

Skills

AI Safety

Red Teaming

Cybersecurity

Investigative Journalism

Education

Bachelor's degree or higher in Computer Science, Cybersecurity, Journalism, Communications, Psychology, Biology, Chemistry, Public Policy, or a related discipline

Job description

Obsidian seeks 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 high-risk topics.

You will document findings, contribute to safety benchmarking and red-teaming reports, and collaborate with AI researchers to improve alignment, robustness, and safety in real-world deployments.