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mercor

mercor

AI Adversarial Specialist - Fully Remote | Upto $22/hr

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Fully RemoteEngineeringAustralia

Salary

$240–$264

Posted

2h ago

Source

himalayas

AI SafetyRed TeamingCybersecurityAI ResearchPrompt Engineering

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: support@mercor.com

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

Salary in context

This salary range is below the typical band for remote Engineering roles — comparable roles on RemoteTide top out closer to $150k.

Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

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