Bilingual Adversarial AI Quality Engineer

šŸŒ Remote, USA šŸŽÆ Full-time šŸ• Posted Recently

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: Red Team Specialist

Type: Full-time or Part-time Contract Work

Compensation: $32/hour

Location: Remote

Commitment: 20+ hours/week

    Role Responsibilities
  • Evaluate conversational AI models for jailbreaks, prompt injections, and misuse cases.
  • Generate high-quality human data by annotating failures and classifying vulnerabilities.
  • Apply structured taxonomies and benchmarks to maintain consistent testing.
  • Document reproducibly by producing reports, datasets, and actionable attack cases.
  • Collaborate with stakeholders to communicate risks clearly and effectively.
  • Work independently and asynchronously to enhance AI model safety.

Qualifications

    Must-Have
  • Fluent English & Arabic language skills.
  • Prior experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Strong communication skills for technical and non-technical stakeholders.
  • Ability to adapt across projects and customer needs.
    Preferred
  • Experience with adversarial ML, cybersecurity, or socio-technical risk.
  • Skills in creative probing such as psychology, acting, or unconventional adversarial thinking.
    Compensation & Legal
  • Hourly contractor
  • Paid weekly
    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/welcome
  • For any help or support, reach out to: [email protected]

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

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