Senior Dermatology AI Evaluation Reviewer

You will provide senior clinical review for complex or unclear dermatology cases, including graphic medical images. The work combines structured evaluation, consensus building, guideline-aligned documentation, and expert review of AI model outputs.

• Review complex or ambiguous dermatology cases.
• Resolve clinical disagreements through a structured consensus process.
• Help shape clinical evaluation frameworks and provide guideline-aligned commentary.
• Review AI model outputs and provide expert advisory input.
• Document clinically defensible reasoning and consensus across assigned case batches.
• Provide subspecialty consultation and work comfortably with clinical complexity and graphic medical images.

This is a fully remote, asynchronous independent contractor engagement with occasional synchronous calls. The expected engagement lasts four weeks, and compensation is paid per task based on experience, academic standing, and clinical expertise.

• Pay: Paid per task, with compensation determined by experience, academic standing, and clinical expertise.
• Schedule: 20 or more hours per week.
• Engagement: Four weeks as an independent contractor.
• Work style: Remote and primarily asynchronous, with occasional synchronous calls.
• Language: Professional fluency in English.
• Required experience level: Entry level.
• Required credentials: Faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
• Board certification in dermatology from the American Board of Dermatology.
• At least three years of experience after completing residency.
• An active medical license in good standing in at least one US state.
• An active clinical practice.
• Strong written clinical reasoning and the ability to lead and document clinical consensus.
• Disciplined adherence to project protocols.
• Be prepared to disclose relevant conflicts of interest involving dermatology AI, digital health, or pharmaceutical organizations.

The following experience is valuable but is not listed as required: subspecialty fellowship training, dermatology publications, research or teaching service, specialty society involvement, or prior work involving clinical AI evaluation, digital health, or dermatology AI research.

• Fellowship training in dermatopathology.
• Fellowship training in Mohs or procedural dermatology.
• Fellowship training in pediatric dermatology.
• Fellowship training in complex medical dermatology.
• Peer-reviewed dermatology publications.
• Journal peer review.
• IRB or research committee service.
• Resident or fellow teaching.
• Involvement with a dermatology specialty society.
• Prior clinical AI evaluation, digital health, or dermatology AI research.

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

AI training uses expert-reviewed examples and evaluations to improve how artificial intelligence systems respond. In specialized fields such as dermatology, experienced clinicians help assess model outputs and document sound clinical reasoning.