Dermatology Life Science Domain Expert

You will provide senior clinical review for complex dermatology cases in a longitudinal clinical dataset. Your work will support data curation and evaluation of AI models through careful judgment, structured documentation, and subspecialty expertise.

• Lead reviews of complex or ambiguous dermatology cases.
• Resolve disagreements among clinical reviewers and document the consensus.
• Help develop clinical evaluation frameworks for AI model outputs.
• Write guideline-aligned clinical commentary and clinically defensible conclusions.
• Advise review teams, communicate with peer faculty reviewers, and follow project protocols.
• Work with graphic medical images and clinically complex material.

What it pays and takes

Compensation is paid per task and is determined by experience, academic standing, and clinical expertise. This is a remote, asynchronous independent contractor engagement with occasional synchronous calls.

• Pay: Paid per task; the amount depends on experience, academic standing, and clinical expertise.
• Hours: 20+ hours per week.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Education: Faculty appointment at the 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 post-residency, an active clinical practice, and an active medical license in good standing in at least one US state.
• Skills: Strong written clinical reasoning, the ability to lead and document clinical consensus, and familiarity with current dermatology guidelines.
• Helpful background: Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Helpful experience: Dermatology publications, journal peer review, IRB or research committee service, teaching residents or fellows, clinical AI evaluation, digital health, dermatology AI research, or work with dermatology specialty societies.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a platform where people find AI training and data-labeling work, build a profile, and start applications.

About AI training work

AI training is the human work behind systems that learn from examples and expert feedback. Experienced professionals are paid to review difficult material, explain their reasoning, and help make model outputs more accurate and useful.