Dermatology Clinical AI Senior Reviewer

The work

You will provide senior clinical review for dermatology case batches in a longitudinal dataset. Your work will support AI evaluation and data curation, with careful attention to current guidelines, protocol adherence, clinical defensibility, and conflicts of interest.

• Review complex and ambiguous dermatology cases using current clinical guidelines.
• Evaluate assigned case batches and document clear, clinically defensible reasoning.
• Facilitate structured resolution when reviewers disagree.
• Help create clinical evaluation frameworks and reviewer guidance.
• Document consensus decisions and the reasoning behind them.
• Provide advisory input on AI model outputs and subspecialty questions.
• Determine when appropriate subspecialty consultation is needed.

What it pays and takes

This is a remote, asynchronous, part-time contractor engagement planned for four weeks. Compensation is pay per task, with the amount determined by your experience, academic standing, and clinical expertise.

• Pay: Pay per task; the amount varies by experience, academic standing, and clinical expertise.
• Hours: About 15 hours per week on average, with up to 40 hours per week during peak batches.
• Location: United States only.
• Language: English.
• Education and appointment: An Assistant Professor appointment or above at an accredited US medical school or academic medical center.
• Certification: Board certification in dermatology from the American Board of Dermatology.
• Clinical experience: At least three years since completing residency and an active clinical practice.
• Licensure: An active medical license in good standing in at least one US state.
• Required expertise: Strong written clinical reasoning, familiarity with current dermatology guidelines, and experience with complex medical images.
• Helpful background: Subspecialty fellowship training, peer-reviewed dermatology publications, clinical AI evaluation, digital health, dermatology AI research, journal peer review, IRB or research committee service, specialty society involvement, or teaching residents or fellows.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from reviewed examples, including clinical case evaluations and ratings of model outputs. Medical specialists are needed to judge difficult cases, explain their reasoning, and help make AI systems more accurate and responsible.