Red-Teaming QA Lead - Remote

Key Responsibilities

• Quality monitoring: Spot-check red-teaming items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Safety and red-team review: Evaluate adversarial prompts, model responses, risk classifications, safety analyses, policy explanations, and vulnerability reports for accuracy, realism, and usefulness.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and red-teaming-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around risk categories, adversarial strategy, policy boundaries, edge cases, severity, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain red-teaming project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and red-teaming-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply red-teaming and safety-review guidelines consistently and understand updates as projects evolve.
• Risk review: Flag unsafe, low-quality, unrealistic, policy-inconsistent, or insufficiently documented red-team items.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for AI red-teaming projects.

About the role

This hourly, remote contractor role involves overseeing quality, consistency, and trainer performance across AI red-teaming and safety-evaluation projects. You will review AI-generated safety evaluations, adversarial prompts, risk analyses, and trainer/QA work; evaluate output quality against project guidelines; provide precise written feedback; and ensure that all contributors follow the expected quality standards. You will assess work for risk identification, adversarial reasoning, policy awareness, safety taxonomy alignment, prompt quality, scenario realism, vulnerability coverage, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.