AI Safety Expert – English, Gujarati
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Job Description
AI red team expert probing conversational models for Mercor, which partners with AI labs to train frontier systems. Generating adversarial datasets, vulnerability reports, and attack cases.
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, and harmful behaviors
- Help expand evaluation coverage and strengthen customer AI systems
Requirements:
- Native fluency in English and Gujarati 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 work consistently according to guidelines and quality standards
- Ability to explain reasoning clearly to technical and non-technical audiences
- Adaptability across projects, task types, and customers
- Independent contractor status
- Must not require H1-B or STEM OPT sponsorship/support
- Nice-to-have: adversarial ML experience, including jailbreak datasets, prompt injection, RLHF/DPO attacks, or model extraction
- Nice-to-have: cybersecurity experience, including penetration testing, exploit development, or reverse engineering
- Nice-to-have: socio-technical risk experience, including harassment/disinformation probing, abuse analysis, or conversational AI testing
- Nice-to-have: psychology, acting, or writing experience for unconventional adversarial thinking
Benefits:
- Fully remote role
- Flexible schedule; work can be completed on your own schedule
- Weekly payments via Stripe or Wise
- Competitive pay
- Opportunity to build experience in human data-driven AI red teaming
- Direct role in making AI systems more robust, safe, and trustworthy
- Collaboration with leading researchers
- Reasonable accommodations upon request
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