Medicine QA Lead - Remote

Key Responsibilities

• Spot-check medical items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Evaluate AI-generated medical explanations, clinical reasoning, patient-facing responses, case analyses, diagnostic discussions, treatment summaries, medication-related content, and health-education materials for accuracy, clarity, and appropriate caution.
• Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and medical-review-specific standards.
• Respond to trainer/QA questions clearly and promptly, especially around clinical reasoning, terminology, patient-safety risks, medical claims, guideline interpretation, evidence quality, and rubric application.
• DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Create and maintain medical project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and medicine-specific review requirements.
• Ensure all trainers and QAs apply medical-review guidelines consistently and understand updates as projects evolve.
• Flag unsafe, misleading, overconfident, or clinically inappropriate medical outputs, especially where the content could be interpreted as personalized diagnosis, treatment, emergency guidance, medication instructions, or professional medical advice.
• Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for medical AI training projects.

About the role

This hourly, remote contractor role involves overseeing quality, consistency, and trainer performance across medical AI training projects. You will review AI-generated medical content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.