Frontier AI Safety Red Teamer

Mercor; Warszawa; Remote; PLN 180,000 - 240,000; Full time

Job summary

Mercor is seeking experienced AI Safety Red Teamers to stress-test frontier AI systems through adversarial testing. You will design challenging prompts to uncover model weaknesses, evaluate behavior across grey-area topics, and document vulnerabilities for safety benchmarking.

You will collaborate with AI researchers to improve alignment, robustness, and safety, contributing insights to red-teaming reports and safety practices across high-risk domains.

Qualifications

• Bachelor's degree or higher in a relevant 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.

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

Adversarial testing

Prompt design

Analytical reasoning

Written communication

Education

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

Job description

Mercor is seeking experienced AI Safety Red Teamers to stress-test frontier AI systems through adversarial testing. You will design challenging prompts to uncover model weaknesses, evaluate behavior across grey-area topics, and document vulnerabilities for safety benchmarking.

You will collaborate with AI researchers to improve alignment, robustness, and safety, contributing insights to red-teaming reports and safety practices across high-risk domains.