The Work
You will review complex and ambiguous dermatology cases in a longitudinal clinical dataset used to evaluate AI models. The work combines clinical judgment, structured documentation, and clear written reasoning.
You will also guide reviews of model outputs, help create clinical evaluation frameworks, and support consistent decisions among peer faculty reviewers.
- Lead clinical review of complex dermatology cases.
- Resolve disagreements among clinical reviewers and document the resulting consensus.
- Write guideline-aligned clinical commentary and clinically defensible conclusions.
- Advise teams evaluating AI model outputs.
- Provide dermatology subspecialty consultation and follow project protocols.
- Communicate reliably with other faculty reviewers.
What It Pays and Takes
This is a remote, asynchronous independent contractor engagement lasting four weeks, with occasional synchronous calls. Compensation is paid per task and is based on experience, academic standing, and clinical expertise.
- Pay: Paid per task; the amount is determined by experience, academic standing, and clinical expertise.
- Time: 20+ hours per week.
- Location: Remote.
- Experience level: Entry level.
- Education and appointment: Assistant Professor level or above at an accredited US medical school or academic medical center.
- Credentials: American Board of Dermatology certification, at least three years after residency, an active clinical practice, and an active medical license in good standing in at least one US state.
- Clinical skills: Strong written clinical reasoning, consensus leadership and documentation, and familiarity with current dermatology guidelines.
- Work setting: Comfort reviewing graphic medical images and clinically complex material.
Helpful Background
Additional experience may strengthen your application, especially work that shows dermatology expertise, clinical research, teaching, or experience evaluating health technology.
- Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
- Peer-reviewed dermatology publications or journal peer review.
- IRB or research committee service.
- Experience teaching residents or fellows.
- Clinical AI evaluation, digital health, or dermatology AI research experience.
- Involvement with dermatology specialty societies.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training uses human review to help artificial intelligence systems learn from examples and produce better results. Medical experts are needed to assess difficult cases and explain whether model outputs are clinically sound.