AI Safety Red Team Lead — Frontier Models

Mercor; København; Remote; DKK 850,000 - 1,200,000; Full time

Job summary

Mercor seeks experienced AI Safety Red Teamers to stress-test frontier AI models by designing adversarial prompts and evaluating robustness across complex, high-risk topics. You will identify jailbreaks, unsafe behaviours, hallucinations, and policy failures while documenting vulnerabilities for benchmarking and reporting.

Collaboration with AI researchers will help improve alignment, safety controls, and resilience against grey-area content in real-world applications.

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.

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.

Skills

Analytical reasoning

Prompt design

Written communication

Adversarial testing

Frontier AI evaluation

Education

Bachelor's degree or higher in Computer Science / related field

Job description

Mercor seeks experienced AI Safety Red Teamers to stress-test frontier AI models by designing adversarial prompts and evaluating robustness across complex, high-risk topics. You will identify jailbreaks, unsafe behaviours, hallucinations, and policy failures while documenting vulnerabilities for benchmarking and reporting.

Collaboration with AI researchers will help improve alignment, safety controls, and resilience against grey-area content in real-world applications.