AI Safety Expert – English, Tamil
Posted 11hrs ago
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Job Description
AI red team expert probing conversational models for Mercor, which partners with AI labs to train frontier systems. Testing vulnerabilities and producing actionable safety data.
Responsibilities:
- Red-team conversational AI models and agents through 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, or harmful behaviors
- Uncover vulnerabilities automated tests miss
- Deliver reproducible artifacts that strengthen customer AI systems
- Expand evaluation coverage and reduce production surprises
Requirements:
- Fluent language skills required: English and Tamil
- Native fluency in English and Tamil is required
- Strong judgment about language and content
- Ability to assess whether AI responses are accurate, complete, and appropriate, and explain why
- Ability to notice subtle errors, inconsistencies, and gaps
- Ability to consistently follow guidelines and quality standards
- Ability to explain reasoning clearly to technical and non-technical audiences
- Ability to adapt across projects, task types, and customers
- Independent contractor engagement
- H1-B and STEM OPT candidates cannot be supported
- Nice-to-have specialties include adversarial ML, cybersecurity, socio-technical risk, and creative probing
Benefits:
- Fully remote role that can be completed on your own schedule
- Weekly payments via Stripe or Wise based on services rendered
- Participation in higher-sensitivity projects is optional
- Clear guidelines and wellness resources for sensitive-content projects
- Competitive pay
- Collaboration with leading researchers
- Referral opportunity offering up to $90 per successful referral








