Senior Dermatology AI Evaluation Reviewer

The Work

OpenTrain AI is hiring a senior dermatology reviewer to support clinical data curation and evaluation of AI models. You will review longitudinal dermatology cases, medical images, and complex model outputs using current clinical guidelines.

The work includes leading review for assigned case batches, resolving disagreements among reviewers, contributing to evaluation frameworks, and documenting clinical consensus.

• Review complex and ambiguous dermatology cases.
• Assess cases using current dermatology guidelines.
• Resolve clinical disagreements through a structured process.
• Provide subspecialty consultation and expert guidance on AI model outputs.
• Write clear, clinically defensible commentary and consensus documentation.
• Follow project protocols and communicate constructively with other reviewers.

What It Pays and Takes

This is a remote, asynchronous independent contractor engagement for US-based academic dermatologists. The engagement is scheduled for four weeks and includes occasional synchronous calls.

• Pay: Per-label payment in USD; the rate is not listed.
• Time: About 15 hours per week on average, with up to 40 hours per week during peak batches; the listing also indicates 20+ hours per week.
• Location: United States only.
• Language: English.
• Appointment: Assistant Professor level or above at an accredited US medical school or academic medical center.
• Certification: Board certification in dermatology by the American Board of Dermatology.
• Experience: At least three years after completing residency and active clinical practice.
• License: An active medical license in good standing in at least one US state.
• Training: Subspecialty fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Background: Peer-reviewed dermatology publications, strong written clinical reasoning, familiarity with current guidelines, and the ability to lead and document clinical consensus.
• Other requirements: Comfort with medical images and clinically complex cases.

Useful Additional Experience

The following experience is valuable but is not stated as required: clinical AI evaluation, digital health, dermatology AI research, journal peer review, research committee service, resident or fellow teaching, or participation in dermatology specialty societies.

How It Works

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

About AI Training Work

AI training work uses expert human judgment to prepare and evaluate examples for artificial intelligence systems. In specialist fields such as medicine, experienced professionals help assess difficult cases and model responses so AI systems can perform more reliably.