Red-Teaming Quality Assurance Lead (Remote)

About the role

In this hourly, remote contractor position you will lead quality assurance for AI red‑teaming and safety‑evaluation projects. You will ensure that AI‑generated safety evaluations, adversarial prompts and risk analyses meet strict project guidelines and that trainers consistently deliver high‑quality work.

Key responsibilities

• Review AI‑generated safety evaluations, adversarial prompts, risk analyses and trainer/QA work against detailed rubrics.
• Provide precise written feedback to trainers and QA contributors, highlighting issues such as weak adversarial design, unrealistic scenarios, policy misinterpretation or unsafe outputs.
• Identify recurring quality problems, communicate updates, and maintain documentation of standards and processes.
• Support onboarding of new contributors, activate inconsistent workers, and monitor overall quality workflow across remote expert teams.
• Collaborate with project managers to align quality standards with AI safety and policy requirements.

Required profile

• Bachelor’s, Master’s or professional experience in Computer Science, Cybersecurity, AI Safety, Trust & Safety, Public Policy, Psychology, Linguistics, Law, Security Studies, Risk Analysis or a related field.
• 3+ years of experience in AI safety, red‑teaming, cybersecurity, trust and safety, content policy, risk analysis, adversarial testing, model evaluation or content moderation.
• Strong grasp of English to follow guidelines, communicate with teams and write clear feedback.
• Deep understanding of AI risk categories, adversarial prompting, jailbreak patterns, harmful‑content taxonomies and safety evaluation principles.

Required skills