Medical Quality Assurance Lead (QAL)

About the Role

This is a remote, hourly contractor role for a Medical Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and contributor performance across medical AI training projects.

You will review AI-generated medical content, evaluate trainer and QA work, provide detailed feedback, maintain quality standards, support onboarding efforts, and ensure compliance with medical review guidelines and project rubrics.

The role combines clinical expertise, quality assurance, AI evaluation, contributor management, patient-safety review, documentation, and process improvement.

Key Responsibilities

Quality Monitoring

• Review medical training items and QA outputs
• Identify recurring quality issues and clinical-review errors
• Provide actionable feedback to contributors
• Escalate critical quality concerns

Medical Review

Evaluate AI-generated medical explanations, clinical reasoning analyses, differential diagnosis discussions, patient-facing health responses, case analyses, treatment summaries, diagnostic overviews, medication-related content, healthcare education materials, clinical documentation examples, guideline interpretation tasks, and medical research summaries.

Verify medical accuracy, clinical reasoning quality, evidence alignment, patient-safety awareness, terminology correctness, risk sensitivity, instruction compliance, clarity of explanation, and appropriate medical caution.

Trainer & QA Communication

• Communicate guideline updates and workflow changes
• Clarify medical-review standards
• Maintain contributor alignment

Question Resolution

Respond to contributor questions regarding clinical reasoning, differential diagnosis, medical terminology, patient safety concerns, clinical guidelines, evidence quality, medical claims, medication-related content, documentation standards, and rubric interpretation.

Contributor Activation Management

• Follow up with inactive contributors and track engagement
• Encourage participation and task completion

Documentation Management

Create and maintain style guides, medical FAQs, quality notes, calibration tasks, examples, trackers, honeypots, and onboarding materials.

Onboarding & Training

• Conduct onboarding and training sessions
• Explain project workflows, evaluation rubrics, medical review standards, patient-safety requirements, clinical reasoning expectations, evidence-based review practices, and risk-awareness guidelines

Risk & Safety Review

Identify and flag unsafe medical recommendations, overconfident diagnoses, inappropriate treatment advice, hallucinated medical facts, missing clinical caveats, dangerous medication guidance, misleading health claims, incomplete safety information, and content resembling personalized medical advice.

Process Improvement

• Identify recurring quality gaps and recommend workflow improvements
• Help build scalable QA processes for medical AI projects

Required Skills & Qualifications

• Medical degree (MD, DO, MBBS, MBChB, or equivalent) or advanced healthcare qualification (Nursing, Pharmacy, Biomedical Sciences, Clinical Research, or related discipline)
• 3+ years of professional experience in clinical practice, medical research, medical education, clinical documentation, healthcare QA, medical writing, guideline review, or healthcare operations
• Strong understanding of clinical reasoning, differential diagnosis, pathophysiology, pharmacology, diagnostics, treatment principles, evidence-based medicine, patient safety, medical terminology, and healthcare communication
• Ability to identify unsafe recommendations, hallucinated medical facts, missing caveats, incorrect clinical reasoning, overconfident diagnosis claims, inappropriate treatment advice, and risky patient guidance
• Strong written English, medical-review feedback, and documentation skills

Preferred Qualifications

• Experience with clinical guidelines, diagnostic pathways, medication safety reviews, chart review, case summaries, medical literature review, evidence appraisal, or healthcare documentation
• Experience leading or supporting clinicians, medical reviewers, medical writers, researchers, educators, QA teams, or healthcare professionals
• Experience with AI training, data annotation, LLM evaluation, or rubric-based QA
• Familiarity with Discord, Google Docs, Google Sheets, and project management systems

Additional Information

• Fully remote — Flexible schedule — Weekly payments
• Access to future opportunities through the SME Careers expert network

About SME Careers

SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides training data for leading AI companies and foundation-model laboratories.