We are assembling a 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 ac...