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AI Adversarial Specialist - Fully Remote | Upto $35/hr

Mercor

RemoteFull timeMid levelPosted today
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About the role

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 & Thai

Type: Contract Compensation: $24–$35/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. Follow taxonomies, benchmarks, and playbooks to ensure consistent testing.
  • Document reproducibly. Produce reports, datasets, and attack cases that customers can act on.
  • Work independently and asynchronously. Participate in higher-sensitivity projects with clear guidelines and wellness resources.

Qualifications Must-Have

  • Fluent Language Skills Required: English & Thai
  • Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Strong communication skills. Explain risks clearly to technical and non-technical stakeholders.
  • Adaptability. Thrive on moving across projects and customers.

Preferred

  • Experience in Adversarial ML, Cybersecurity, or socio-technical risk.
  • Creative probing skills in psychology, acting, or writing for unconventional adversarial thinking.

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. ,

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