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Mercor

AI Safety Expert - Red Team

Mercor
India
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  • Posted 9 hours ago
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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 Experts — English & Kannada

Type:Contract

Compensation:$20–$22/hour

Location:Remote

Role Responsibilities

  • Red team conversational AI models and agents. Focus on jailbreaks, prompt injections, misuse cases, and bias exploitation.
  • Generate high-quality human data. Annotate failures, classify vulnerabilities, and flag systemic risks.
  • Apply structure using taxonomies, benchmarks, and playbooks to maintain consistent testing.
  • Document reproducibly. Produce reports, datasets, and attack cases for customer action.

Qualifications

Must-Have

  • Fluent in English and Kannada.
  • Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Ability to explain risks clearly to technical and non-technical stakeholders.

Preferred

  • Experience in Adversarial ML, Cybersecurity, or socio-technical risk analysis.
  • Skills in creative probing such as psychology, acting, or writing.

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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: [Confidential Information]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Ai Safety
Employment Type:
Full time

About Company

Mercor

Job ID: 149062117

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Last Updated: 11-06-2026 01:36:54 PM
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AI Safety Expert - Red Team

Mercor
India

Skills:

red teaming , Cybersecurity, Penetration Testing, abuse analysis, adversarial ML, Reverse Engineering, jailbreak datasets, socio-technical risk, prompt injection, conversational AI testing, model extraction, DPO attacks, exploit development, RLHF