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.

Requirements

Medical degree such as MD, DO, MBBS, MBChB, or equivalent; advanced clinical, biomedical, nursing, pharmacy, or healthcare-related degrees may be considered depending on project requirements.

Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear medical-review feedback in English.

3+ years of professional experience in medicine, clinical practice, medical research, medical education, clinical documentation, healthcare QA, medical writing, guideline review, or related workflows.

Strong understanding of core medical topics such as clinical reasoning, differential diagnosis, pathophysiology, pharmacology, diagnostics, treatment principles, patient safety, evidence-based medicine, medical terminology, and healthcare communication.

Ability to evaluate medical content against detailed rubrics and identify issues such as unsafe recommendations, hallucinated facts, missing caveats, incorrect clinical reasoning, overconfident diagnosis/treatment claims, inappropriate patient advice, or incomplete explanations.

Familiarity with medical workflows or references such as clinical guidelines, diagnostic pathways, medication safety, chart review, case summaries, patient education materials, medical literature, and evidence-based review is preferred.

Experience leading or supporting remote teams of trainers, annotators, reviewers, clinicians, medical writers, researchers, educators, or QAs is strongly preferred.

Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.

Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation.

Experience with AI training, data annotation, large language models, prompt/response evaluation, medical content QA, or rubric-based LLM evaluation is a strong plus.