AI Safety Red Teamer Expert

Mercor; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Mercor is seeking experienced AI Safety Red Teamers to stress-test frontier AI systems through adversarial prompts and rigorous evaluation. You will identify jailbreaks, unsafe behaviours, and policy failures, while assessing model robustness across sensitive domains such as misinformation and biosecurity.

Collaboration with researchers will help advance safety benchmarking and alignment. Applicants should have strong analytical and communication skills, a Bachelor's degree or higher in a

Qualifikationen

• Bachelor's degree or higher in a field related to CS, cybersecurity or safety.
• 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.

Aufgaben

• 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.

Kenntnisse

AI Safety

Red Teaming

Adversarial Testing

Prompt Design

Cybersecurity

Analytical Reasoning

Written Communication

Ausbildung

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

Tools

Jailbreak testing

Prompt engineering

Adversarial evaluation

Jobbeschreibung

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.