AI Safety Expert – English, Punjabi

Posted 16hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

AI red-teaming contractor probing conversational models for Mercor’s human-data AI safety projects. Generating vulnerability annotations, attack cases, datasets, and reproducible safety reports.

Responsibilities:

  • Red-team conversational AI models and agents using jailbreaks, prompt injections, misuse cases, bias exploitation, and multi-turn manipulation
  • Generate human data by annotating failures, classifying vulnerabilities, and flagging systemic risks
  • Apply taxonomies, benchmarks, and playbooks to keep testing consistent
  • Produce reproducible reports, datasets, and attack cases for customers
  • Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
  • Expand evaluation coverage and uncover vulnerabilities automated tests miss
  • Strengthen customer AI systems and improve their safety, robustness, and trustworthiness

Requirements:

  • Fluent/native fluency in English and Punjabi
  • Strong judgment about language and content; ability to assess whether AI responses are accurate, complete, and appropriate
  • Ability to identify subtle errors, inconsistencies, and gaps
  • Ability to consistently follow guidelines, taxonomies, benchmarks, playbooks, and quality standards
  • Ability to explain reasoning clearly to technical and non-technical audiences
  • Adaptability across projects, task types, and customers
  • Independent contractor status
  • H1-B and STEM OPT candidates are not supported
  • Nice-to-have experience in adversarial ML, jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction, penetration testing, exploit development, reverse engineering, harassment/disinformation probing, abuse analysis, conversational AI testing, psychology, acting, or unconventional adversarial writing

Benefits:

  • Fully remote role with flexible, self-directed scheduling
  • Weekly payments via Stripe or Wise
  • Competitive pay
  • Wellness resources and clear guidelines for higher-sensitivity projects
  • Reasonable accommodations upon request
  • Referral payments of up to $90 per successful referral
  • Opportunity to collaborate with leading researchers
  • Experience in human data-driven AI red teaming at the frontier of safety