Medical AI Quality Assurance Lead

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. Create a free OpenTrain account to build your profile and apply to projects that match your expertise.

• Remote AI training and data-labeling opportunities
• A way to build experience teaching and evaluating artificial intelligence
• Free account creation and streamlined applications

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 escalate 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

How to Apply Through OpenTrain

OpenTrain helps people start and grow careers teaching AI through flexible remote projects. Create a free account, build a profile that reflects your medical expertise, and apply in minutes for this opportunity.

• Confirm that you meet the US eligibility and 20+ hour weekly commitment
• Highlight your medical degree, clinical experience, and quality assurance background
• Showcase experience with medical writing, guideline review, healthcare QA, or AI evaluation
• Apply through OpenTrain for consideration