AI Safety Red Teamer Expert

Mercor; Dublin; On-site; EUR 83,000 - 100,000; Full time

Job summary

Mercor is seeking an AI Safety Red Teamer for a contract engagement. You design adversarial prompts to stress-test frontier AI models, identify jailbreaks, unsafe behaviors, and policy failures, and document vulnerabilities for safety benchmarking.

In collaboration with AI researchers, you will help improve model alignment, robustness, and safety through rigorous evaluation across sensitive domains such as misinformation, cyber, biosecurity, and political content.

Qualifications

• Bachelor-level or higher in a related field and 5+ years in AI safety or red teaming.
• Proven ability to design and analyze adversarial prompts for frontier AI systems.
• Strong written and verbal communication skills.

Responsibilities

• Design adversarial prompts to stress-test frontier AI models.
• Identify jailbreaks, unsafe behaviors, hallucinations, and policy failures.
• Evaluate model robustness across misinformation, cyber, biosecurity, fraud, political content, and other domains.
• Document vulnerabilities and contribute to safety benchmarking and red-teaming reports; collaborate with researchers.

Skills

Analytical reasoning

Prompt design

Written communication

Adversarial prompt design

Education

Bachelor's degree in Computer Science

Bachelor's degree in Cybersecurity

Bachelor's degree in Journalism

Bachelor's degree in Communications

Bachelor's degree in Psychology

Bachelor's degree in Biology

Bachelor's degree in Chemistry

Bachelor's degree in Public Policy

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: AI Safety Red Teamer
Type: Contract
Compensation: $70–$84/hour
Location: Remote

Role Responsibilities

Design adversarial prompts to stress-test frontier AI models . Identify jailbreaks, unsafe behaviors, 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.

Qualifications

Must-Have

• 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

• 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.