AI Safety Red Teamer Expert
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Budget / Salary$70–84
TypeContract
LocationDenmark
Posted4 hours ago
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.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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