Frontier AI Safety Red Team Lead

Mercor; Brussel Hoofdstad; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Mercor is seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts and evaluate model behavior across high-risk topics.

Responsibilities include stress-testing models, uncovering jailbreaks and policy failures, and documenting vulnerabilities for safety benchmarking and red-teaming reports. Collaboration with AI researchers will drive improvements in alignment and robustness.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Analytical reasoning

Prompt design

Written communication

Adversarial prompts design

Formation

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

Description du poste

Mercor is seeking experienced AI Safety Red Teamers to identify vulnerabilities in frontier AI systems through adversarial testing. You will design challenging prompts and evaluate model behavior across high-risk topics.

Responsibilities include stress-testing models, uncovering jailbreaks and policy failures, and documenting vulnerabilities for safety benchmarking and red-teaming reports. Collaboration with AI researchers will drive improvements in alignment and robustness.