Clinical Medicine AI Evaluation Physician

About OpenTrain

OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect clinicians and other specialists with short-term, flexible projects where your expertise directly shapes how AI systems behave.

For this role, OpenTrain is the hiring and contracting organization and will manage the engagement, payments, and project onboarding.

Why AI Training Matters in Medicine

AI systems learn from examples and human feedback. Medical AI must be evaluated by clinicians to ensure it reasons safely and accurately in real-world clinical situations.

Participating in AI evaluation is a way to influence how these tools perform in practice, while fitting work around clinical responsibilities.

The Role

As a Clinical Medicine AI Evaluation Physician you will design evaluation frameworks and clinical scenarios, assess model reasoning, and report gaps that affect patient care. This is remote, contract work intended to fit alongside clinical duties.

OpenTrain is looking for physicians who can bring real-world clinical judgment and evidence-based reasoning to test and improve medical AI behavior.

• Position type: Independent contractor, part-time
• Location: Remote / work from anywhere (English required)
• Duration: 1 month, with potential extensions based on performance and fit

What You'll Do

Your core work is to evaluate how medical AI systems handle clinical reasoning and decision-making. You will create realistic clinical test cases, apply assessment methods, and collaborate with researchers to refine evaluations.

• Design systematic evaluation frameworks for medical AI systems
• Create clinical scenarios that test AI reasoning and decision-making capabilities
• Build assessment methods that capture the nuance of clinical practice
• Identify gaps in AI medical knowledge and reasoning and document findings
• Collaborate with AI researchers to improve model performance and iterate on tests

Requirements

This role requires an active, licensed physician who regularly practices clinical medicine and can apply evidence-based reasoning to evaluate AI outputs.

• Licensed physician (MD/DO) with active clinical practice in any specialty
• Experience with evidence-based clinical decision-making
• Strong analytical skills for evaluating AI reasoning output
• Clear written and verbal communication to document findings and recommendations
• Ability to design clinical scenarios that effectively test AI capabilities

Helpful Background

Candidates with interest or prior exposure to medical AI, digital health, or clinical research will find this work especially rewarding. A background in biology is a plus but not required.

• Helpful: prior interest in how AI can support clinical practice
• Helpful: background in Biology

Engagement Details & Data Work

Time commitment is flexible but substantial: expect roughly 20–30 hours per week, remote, with a one-month initial engagement and the possibility of extension. This is a contract, part-time role paid through OpenTrain (rates are set in the platform).

The work is text-focused evaluation: you will review model outputs and assign evaluation ratings according to predefined rubrics.

• Typical commitment: 20+ hours/week (up to 30 hrs/week), flexible scheduling
• Data type: TEXT; Labeling tasks: EVALUATION_RATING
• Languages: English required
• Employment types: CONTRACTOR, PART_TIME

Who Should Apply & How To Get Started

Apply if you are a practicing physician interested in shaping safe, clinically reliable AI. This project welcomes clinicians who are new to AI evaluation as well as those with prior experience.

To apply, create or update your OpenTrain profile so it reflects your medical license and clinical experience, then submit your application through the OpenTrain platform. Successful applicants will complete onboarding and a short evaluation task before starting.

• Experience level: Entry level (project suitable for clinicians new to AI evaluation)
• Worldwide applicants accepted; ensure your OpenTrain profile lists your medical license and specialty