Verified Mercor opportunity
Location: Remote — Fluent Language Skills Required: English & Vietnamese. Native fluency in English and Vietnamese is required for this position. — Why This Role Exists — At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers. — This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated. — What You’ll Do • Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation • Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks • Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent • Document reproducibly: produce reports, datasets, and attack cases customers can act on — Who You Are • You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing) • You’re curious and adversarial: you instinctively push systems to breaking points • You’re structured: you use frameworks or benchmarks, not just random hacks • You’re communicative: you explain risks clearly to technical and non-technical stakeholders • You’re adaptable: thrive on moving across projects and customers — Nice-to-Have Specialties • Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction • Cybersecurity: penetration testing, exploit development, reverse engineering • Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing • Creative probing: psychology, acting, writing for unconventional adversarial thinking — What Success Looks Like • You uncover vulnerabilities automated tests miss • You deliver reproducible artifacts that strengthen customer AI systems • Evaluation coverage expands: more scenarios tested, fewer surprises in production • Mercor customers trust the safety of their AI because you’ve already probed it like an adversary — Why Join Mercor • Build experience in human data-driven AI red teaming at the frontier of safety • Play a direct role in making AI systems more robust, safe, and trustworthy