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Job description
About OpenTrain
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About Medical AI Training
AI systems learn from examples prepared and reviewed by people with relevant expertise. In medical AI training, clinicians and healthcare specialists help evaluate explanations, case analyses, treatment information, and other model responses so systems become more accurate, clear, cautious, and useful.
Work at the intersection of healthcare and cutting-edge AI
Review and improve model-generated medical content
Contribute to flexible, remote work in a fast-growing field
The Role
OpenTrain is hiring a Medical Quality Assurance Lead to oversee quality and consistency across medical AI training projects. You will review AI-generated medical explanations, patient-facing responses, case analyses, diagnostic discussions, treatment summaries, medication-related content, and trainer or QA submissions.
This part-time contractor role is open to candidates in the United States and requires at least 20 hours per week. The pay rate is $95 per hour.
Role: Medical Quality Assurance Lead
Employment type: Contractor, part time
Location eligibility: United States
Time requirement: 20+ hours per week
Pay: $95 per hour
What You’ll Do
You will combine clinical judgment with structured quality review to identify inaccurate, unclear, inconsistent, or unsafe medical content. You will also help remote trainers and QAs apply project standards consistently and improve medical review workflows.
Review medical AI outputs and trainer or QA work for accuracy, clinical reasoning quality, terminology, clarity, and patient-safety awareness
Provide precise written feedback and escalated recurring or critical quality issues
Communicate project changes, guideline updates, and quality expectations to trainers and QAs
Answer questions about clinical reasoning, guideline interpretation, evidence quality, and rubric application
Maintain style guides, FAQs, trackers, examples, calibration tasks, and onboarding materials
Support onboarding and training for contributors working on medical review workflows
Identify recurring gaps and improve scalable QA processes for medical AI training projects
Requirements
This role requires substantial medical or healthcare expertise and the ability to assess AI-generated content against detailed quality and safety standards. Strong written English is essential because the work includes detailed feedback, documentation, and remote team coordination.
Medical degree such as MD, DO, MBBS, MBChB, or equivalent healthcare training
Strong English communication skills for written feedback and team coordination
At least 3 years of experience in medicine, clinical practice, medical research, medical education, clinical documentation, healthcare QA, medical writing, guideline review, or related work
Strong understanding of clinical reasoning, differential diagnosis, pharmacology, diagnostics, treatment principles, patient safety, and evidence-based medicine
Ability to evaluate AI-generated medical content and identify unsafe or inaccurate outputs
Medical or healthcare background with strong clinical judgment
Ability to review medical content for accuracy, safety, and clarity
Preferred Experience
Experience coordinating contributors or working within structured review operations will help you succeed in this lead role. Familiarity with AI evaluation is valuable, but the core requirement is strong medical judgment and consistent rubric-based quality review.
Experience leading or supporting remote teams of trainers, reviewers, clinicians, or QAs
Familiarity with AI training or data annotation
Experience with prompt and response evaluation
Background in medical content QA
Experience with rubric-based large language model evaluation
Strong written feedback and team coordination skills
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.