AI Safety Expert – English, Gujarati
Posted 5hrs ago
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Job Description
AI red-teaming contractor probing conversational models for Mercor, which partners with AI labs to train frontier systems. Generating vulnerability data, attack cases, 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 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
- Identify vulnerabilities that automated tests miss
- Expand evaluation coverage and reduce production surprises
- Strengthen customer AI systems through adversarial testing
Requirements:
- Native fluency in English and Gujarati required
- Strong judgment about language and content
- Ability to assess whether AI responses are accurate, complete, and appropriate, and explain why
- Rigorous attention to subtle errors, inconsistencies, and gaps
- Ability to follow guidelines and quality standards consistently
- Ability to explain reasoning clearly to technical and non-technical audiences
- Adaptability across projects, task types, and customers
- Independent contractor status
- Must not be an H1-B or STEM OPT candidate
- Nice-to-have specialties: adversarial ML, cybersecurity, socio-technical risk, or creative probing
Benefits:
- Fully remote role
- Flexible own schedule
- Weekly payments via Stripe or Wise
- Opportunity to build experience in human data-driven AI red teaming
- Direct role in making AI systems more robust, safe, and trustworthy
- Competitive pay
- Collaboration with leading researchers
- Reasonable accommodations upon request
- Higher-sensitivity project participation is optional
- Clear guidelines and wellness resources for sensitive-content work








