AI Safety Red Teamer Expert

Mercor; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Mercor in Paris 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, ambiguous topics, collaborating with researchers to improve alignment and safety.

The role emphasizes rigorous prompt design, vulnerability documentation, and cross-disciplinary teamwork to strengthen model robustness and safety.

Qualifications

• Must hold a Bachelor's degree or higher in a related field.
• 5+ years of professional experience in AI Safety or red teaming.
• Strong analytical reasoning and effective written communication.
• 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 thinking

Prompt design

Written communication

Adversarial testing

Formation

Bachelor's degree or higher

Description du poste

We are 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, and ambiguous ("grey-area") topics.

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.

Required 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.

Preferred Qualifications

• Experience with AI Red Teaming, RLHF, SFT, AI Alignment, or Trust & Safety.

• Familiarity with jailbreak testing, prompt engineering, or adversarial evaluation methodologies.

• Expertise in one or more grey-area domains, including cyber, biosecurity, political content, misinformation, or scientific safety.

Why Join?

• Help secure and strengthen the next generation of frontier AI models.

• Work on cutting-edge adversarial testing alongside leading AI researchers and safety teams.

• Influence how AI systems respond to complex, real-world safety challenges.