AI Safety Expert – English, Assamese
Posted 8hrs ago
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Job Description
AI safety red-teamer probing conversational models for Mercor’s frontier AI projects. Generating adversarial datasets, vulnerability reports, and attack cases to strengthen AI systems.
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 maintain consistent testing
- Produce reproducible reports, datasets, and attack cases for customers
- Review AI outputs involving sensitive topics such as bias, misinformation, and harmful behaviors
- Uncover vulnerabilities that automated tests miss
- Expand evaluation coverage and reduce production surprises
- Strengthen customer AI systems and contribute to safer, more trustworthy AI
Requirements:
- Native fluency in English and Assamese
- Prior red teaming experience, including AI adversarial work, cybersecurity, or socio-technical probing
- Ability to probe systems adversarially and push them to breaking points
- Experience using frameworks or benchmarks for structured testing
- Ability to explain risks clearly to technical and non-technical stakeholders
- Ability to adapt across projects and customers
- Nice-to-have specialties: 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 writing
- Must not be an H1-B or STEM OPT candidate
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
- Referral earnings of up to $90 per successful referral, with no limit on referrals (restrictions may apply)












