Frontier AI Safety Red Team Lead

Mercor; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

Mercor is 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 topics.

Responsibilities include designing adversarial prompts, identifying jailbreaks and unsafe behaviours, evaluating robustness across sensitive domains, documenting vulnerabilities, and collaborating with AI researchers to improve safety and

Qualifications

• Bachelor's degree or higher in a relevant discipline.
• 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, 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

Education

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

Job description

Mercor is 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 topics.

Responsibilities include designing adversarial prompts, identifying jailbreaks and unsafe behaviours, evaluating robustness across sensitive domains, documenting vulnerabilities, and collaborating with AI researchers to improve safety and