Python Domain Expert, Dermatology AI Evaluation

You will review complex and ambiguous dermatology cases for AI training and evaluation. The work calls for careful clinical judgment, clear documentation, and guidance based on current dermatology standards.

The supplied title names Python, while the role details focus on dermatology clinical AI evaluation. Review the duties and qualifications carefully before applying.

• Lead clinical reviews of complex or ambiguous dermatology cases.
• Resolve disagreements among reviewers through a structured process.
• Help create clinical evaluation frameworks.
• Write commentary aligned with dermatology guidelines.
• Advise review teams on AI model outputs.
• Provide subspecialty consultation and document clinically defensible consensus.
• Follow project protocols and disclose relevant conflicts of interest.

This is a remote, asynchronous independent-contractor engagement with occasional synchronous calls. Assignments depend on project needs, and the initial engagement lasts four weeks.

• Payment: Per-label payment is listed, but no rate is provided.
• Time requirement: 20+ hours per week.
• Peak workload: May increase to as many as 40 hours during peak batches.
• Location: Open to candidates in the United States.
• Faculty appointment: Assistant Professor or above at an accredited US medical school or academic medical center.
• Certification: Board certified in dermatology by the American Board of Dermatology.
• Experience: At least three years after completing residency.
• Clinical practice: An active clinical practice is required.
• Licensure: An active medical license in good standing in at least one US state.
• Skills: Strong written clinical reasoning, consensus leadership, reliable collaboration with peer faculty reviewers, and comfort with graphic medical images and complex cases.
• Helpful background: Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Additional relevant experience: Peer-reviewed dermatology publications, journal peer review, IRB or research committee service, resident or fellow teaching, specialty-society involvement, or clinical AI evaluation and digital health research.

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

AI training work uses human review to help artificial intelligence systems learn from examples and produce better results. Experienced professionals are valued because their specialist judgment helps evaluate difficult cases and define reliable standards for model behavior.