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.
• Communicate with 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.
• Manage trainer/QA activation by DMing inactive contributors, encouraging activation, tracking follow-ups, and flagging 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.
• Review and 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 and propose workflow improvements to build scalable QA processes for medical AI training projects.

About the role

This is an hourly, remote contractor role where you will oversee quality, consistency, and trainer performance across medical AI training projects. You will review AI-generated medical content and trainer/QA work, providing precise written feedback and ensuring all contributors adhere to the expected quality standards.