Medical Quality Assurance Lead

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people start and grow careers teaching AI by connecting contributors with specialized projects, consolidating opportunities, and enabling a durable freelance portfolio.

OpenTrain AI is the hiring and contracting organization for this role. Creating an OpenTrain account is free and lets you apply, track work, and build a portfolio of AI training experience.

About AI training work

AI training — also called data labeling, annotation, or human feedback — is the human side of building modern AI. Contributors prepare and evaluate examples that shape how models reason about medicine, patient-facing language, diagnostics, and treatment suggestions.

This work is typically remote and flexible, making it a great part-time opportunity to influence state-of-the-art systems while fitting work around clinical or personal commitments.

The role

We are hiring a Medical Quality Assurance Lead to oversee quality and consistency across medical AI training projects. You will review AI-generated medical explanations and trainer/QA submissions for clinical accuracy, clarity, and patient-safety awareness, and you will help maintain style guides, trackers, and onboarding materials.

This is a part-time contractor position requiring 20+ hours/week, paid at $95/hour (USD). Work is remote but limited to applicants based in the United States; English proficiency is required. The work focuses on text review and rubric-based evaluation (data type: TEXT; label types: EVALUATION_RATING, RLHF).

What you'll do

• Review AI outputs and trainer/QA work for accuracy, clinical reasoning, terminology, clarity, and patient-safety concerns.
• Provide precise written feedback and escalate recurring or critical quality issues to project leads.
• Communicate guideline updates, project changes, and quality expectations to trainers and QAs.
• Answer contributor questions about clinical reasoning, evidence quality, and rubric interpretation.
• Maintain and update style guides, FAQs, trackers, calibration tasks, examples, and onboarding materials.
• Support onboarding and training for remote contributors working on medical review workflows.
• Identify recurring gaps and help improve scalable QA processes for medical AI training projects.

Requirements

• Medical degree (MD, DO, MBBS, MBChB) or equivalent healthcare training with strong clinical judgment.
• 3+ years of experience in medicine, clinical practice, medical research, education, documentation, QA, medical writing, or guideline review.
• Strong written English communication skills for clear feedback and team coordination.
• Deep understanding of clinical reasoning, differential diagnosis, pharmacology, diagnostics, treatment principles, patient safety, and evidence-based medicine.
• Ability to evaluate AI-generated medical content against detailed rubrics and identify unsafe or inaccurate outputs.
• Experience leading or supporting remote teams of trainers, reviewers, clinicians, or QAs is strongly preferred.
• Familiarity with AI training, annotation, prompt/response evaluation, medical content QA, or rubric-based LLM evaluation is a strong plus.

Who should apply

Apply if you are a practicing clinician, clinical educator, medical writer, or clinical QA lead who wants to shape how AI systems handle medical content. This role suits experienced clinicians who enjoy teaching, writing clear feedback, and improving remote review processes.

• US-based applicants only; must be able to work at least 20 hours per week.
• Ideal for clinicians seeking part-time, remote contract work influencing AI behavior in healthcare.

How it works

You will be contracted by OpenTrain AI and work remotely with distributed contributors using rubric-based review workflows. Expect to review text outputs, write feedback, maintain documentation, and participate in calibration and onboarding efforts.

To apply, create an OpenTrain account, submit your credentials and relevant clinical experience, and complete any onboarding tasks required for project alignment. Compensation is $95/hour (USD) for the stated weekly commitment and role responsibilities.