Remote AI Safety Red Teamer: Adversarial Testing

mercor; Polska; Remote; PLN 377,000 - 453,000; Part time

Job summary

Mercor seeks an AI Safety Red Teamer for contract remote work to stress-test frontier AI models through adversarial prompts and rigorous evaluation. You will identify jailbreaks, unsafe behaviors, and policy failures, documenting vulnerabilities and contributing to safety benchmarking reports.

You will collaborate with AI researchers to improve model alignment, robustness, and safety, applying analytical reasoning and strong written communication skills in a fast-moving research environment.

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.

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.

Skills

Adversarial prompts design

AI safety

Prompt engineering

Analytical reasoning

Written communication

Education

Bachelor's degree or higher in CS or related

Job description

Mercor seeks an AI Safety Red Teamer for contract remote work to stress-test frontier AI models through adversarial prompts and rigorous evaluation. You will identify jailbreaks, unsafe behaviors, and policy failures, documenting vulnerabilities and contributing to safety benchmarking reports.

You will collaborate with AI researchers to improve model alignment, robustness, and safety, applying analytical reasoning and strong written communication skills in a fast-moving research environment.