Red-Teaming Quality Assurance Lead (Remote)

About the role

This remote contract position leads quality assurance for AI red‑teaming and safety‑evaluation projects. You will ensure that safety training data meets rigorous standards, helping improve the robustness of leading AI models.

Key responsibilities

• Oversee quality, consistency, and trainer performance across AI red‑teaming projects.
• Review AI‑generated safety evaluations, adversarial prompts, risk analyses, and QA work.
• Evaluate output against detailed project rubrics and provide precise written feedback.
• Identify recurring quality issues, communicate updates to contributors, and support onboarding.
• Maintain documentation and activate contributors who are not consistently engaged.

Required profile

• Bachelor’s, Master’s or equivalent professional experience in Computer Science, Cybersecurity, AI Safety, Trust & Safety, Public Policy, Psychology, Linguistics, Law, Security Studies, Risk Analysis, or related fields.
• Strong command of English for guideline interpretation and written feedback.
• 3+ years of experience in AI safety, red‑teaming, cybersecurity, trust & safety, content policy, risk analysis, adversarial testing, model evaluation, or content moderation.
• Deep understanding of AI risk categories, adversarial prompting, jailbreak patterns, harmful‑content taxonomies, misuse scenarios, policy interpretation, and safety evaluation principles.

Required skills

What we offer

• Flexible remote work arrangement.
• Opportunity to influence safety standards for world‑leading AI models.
• Access to future projects through an expert network.