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mercor

AI Safety Red Teamer Expert

Mercor acts as a bridge linking top-tier technical and creative professionals with premier artificial intelligence research laboratories. Based in San Francisco and backed by prominent investors…

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Role Snapshot

Work arrangement
Remote
Where applicants may be
Not specified
Salary
Not specified
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz28d agoEmployer posted Oct 1, 2026
Listing Views4
Applications0
Apply BeforeNo deadline

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About this role

AI Safety Red Teamer Expert at mercor is a full-time role. Work arrangement: Remote. Location: Not specified. No salary is shown in this listing. It was posted on Oct 1, 2026. This listing is paused and not taking applications at the moment.

Job Description

Mercor acts as a bridge linking top-tier technical and creative professionals with premier artificial intelligence research laboratories. Based in San Francisco and backed by prominent investors such as Peter Thiel, Jack Dorsey, Benchmark, General Catalyst, Adam D'Angelo, and Larry Summers, the company is hiring for the role of AI Safety Red Teamer. This position involves probing advanced artificial intelligence models to uncover potential vulnerabilities, policy breaches, and unsafe behaviors.

This role suits professionals with a strong background in trust and safety, cybersecurity, or artificial intelligence alignment who want to test the boundaries of frontier technology. Selected candidates will design challenging adversarial inputs, analyze system robustness across multiple sensitive categories, and work alongside researchers to enhance model reliability. The position operates on a contract basis with remote work arrangements and an hourly pay rate ranging between $70 and $84.

Responsibilities

  • Develop adversarial prompts to stress-test frontier artificial intelligence models
  • Pinpoint jailbreaks, policy failures, hallucinations, and unsafe tendencies
  • Assess model resilience across sensitive domains including biosecurity, cyber threats, misinformation, fraud, and political content
  • Record system vulnerabilities and help author safety red-teaming reports and benchmarks
  • Partner with artificial intelligence researchers to boost safety, robustness, and model alignment

Requirements

  • Hold a bachelor's degree or higher in Computer Science, Cybersecurity, Communications, Journalism, Psychology, Biology, Chemistry, Public Policy, or an equivalent field
  • Possess at least five years of professional background in AI Red Teaming, AI Safety, Trust and Safety, cybersecurity, life sciences, investigative journalism, or a related sector
  • Demonstrate strong prompt design, analytical reasoning, and written communication capabilities
  • Bring practical experience in evaluating frontier artificial intelligence systems or creating adversarial prompts

Qualifications

  • Prior background in AI Red Teaming, AI Alignment, SFT, RLHF, or Trust & Safety
  • Acquaintance with prompt engineering, jailbreak testing, or adversarial evaluation frameworks
  • Specialized knowledge in complex or grey-area fields like biosecurity, cyber, political content, scientific safety, or misinformation

Core Skills

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the employment type for this position?

The position is offered on a contract basis.

Is the role remote?

Yes, the posting specifies that the position is remote.

What is the compensation for the AI Safety Red Teamer?

The compensation ranges from $70 to $84 per hour.

What are the application steps?

The application process takes 20 to 30 minutes and requires you to upload a resume, complete an AI-based interview tied to your resume, and submit the online form.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by mercor

Source: Himalayas

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Posted by employer: Oct 1, 2026

Added to Jobsiz: Oct 4, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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