Ai Safety Specialist - Remote | Upto $84/Hr

Mercor; San Francisco (CA); Hybrid; GBP 72,000 - 86,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. We are seeking an AI Safety Red Teamer for a remote contract role to design adversarial prompts, stress-test frontier AI models, and identify jailbreaks and unsafe behaviors.

You will document vulnerabilities and contribute to safety benchmarking while collaborating with AI researchers on alignment and robustness. The ideal candidate holds a Bachelor's degree or higher in a related field and has 5+ years of

Qualifications

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

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

5+ years exp

Analytical reasoning

Prompt design

Written communication

Education

Bachelor's degree

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.