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AI Safety Expert - Red Team

Exclusive opportunity

Hybrid

AI Safety Expert - Red Team

Mercor

AI Safety Expert - Red Team

Skills

CybersecurityMachine LearningAI

3 months ago

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Important information


Contract type:

Part time

Location:

London, UK

Work mode:

Hybrid

Published on:

11 August 2026

What they need


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 to identify jailbreaks, prompt injections, misuse cases, and bias exploitation.
  • Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
  • Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing.
  • Document reproducibly by producing reports, datasets, and attack cases that customers can act on.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications Must-Have

  • Fluent Language Skills: Native fluency in English & Thai.
  • Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Ability to communicate risks clearly to technical and non-technical stakeholders.
  • Adaptability to thrive on moving across projects and customers.

Preferred

  • Experience with Adversarial ML, Cybersecurity, and Socio-technical risk.
  • Skills in jailbreak datasets, prompt injection, RLHF/DPO attacks, and model extraction.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

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

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