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Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- 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 maintain consistent testing
- Produce reproducible reports, datasets, and attack cases for customers
- Review AI outputs involving sensitive topics such as bias, misinformation, or harmful behaviors
- Uncover vulnerabilities missed by automated tests
- Expand evaluation coverage and reduce production surprises
- Work on projects training and enhancing frontier AI systems
Requirements
What you’ll need- Native fluency in English and Assamese required
- Strong judgment about language and content quality
- Ability to assess whether AI responses are accurate, complete, and appropriate
- Ability to explain reasoning clearly to technical and non-technical audiences
- Rigorous attention to subtle errors, inconsistencies, and gaps
- Ability to follow guidelines, taxonomies, benchmarks, playbooks, and quality standards consistently
- Adaptability across projects, task types, and customers
- Independent contractor status
- Unable to support H1-B or STEM OPT candidates at this time
- Nice-to-have specialties include adversarial ML, cybersecurity, socio-technical risk, conversational AI testing, psychology, acting, and writing
Benefits
Comp & perks- Fully remote work
- 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
- Collaboration with leading researchers
- Reasonable accommodations upon request
- Referral payments of up to $90 for each successful referral, subject to limits
