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Mercor

AI Safety Specialist - Fully Remote | Upto 22/hr

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  • Posted 21 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 & Telugu

Type:Contract

Compensation:$20–$22/hour

Location:Remote

Role Responsibilities

  • Red team conversational AI models and agents to identify jailbreaks, prompt injections, and misuse cases.
  • Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
  • Apply structure by following taxonomies, benchmarks, and playbooks to ensure consistent testing.
  • Document reproducibly by producing reports, datasets, and attack cases that customers can act on.
  • Work independently and asynchronously to improve AI model performance and ensure flexible hours.

Qualifications

Must-Have

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

Preferred

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

Compensation & Legal

  • Hourly contractor
  • Paid weekly via Stripe Connect

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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About Company

Job ID: 149021219

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Skills:

red teaming FrameworksCybersecuritysocio-technical probingAI adversarial workbenchmarks