You will provide senior clinical judgment on complex or ambiguous dermatology cases in a longitudinal dataset. The work supports AI evaluation and data curation through case review, clinical consensus, guideline-based commentary, and expert review of model outputs.
- Lead clinical reviews of complex or ambiguous dermatology cases.
- Resolve disagreements among reviewers through structured clinical consensus.
- Help develop evaluation frameworks and document defensible clinical decisions.
- Review AI model outputs and provide expert advisory input during assigned work.
- Write commentary aligned with current dermatology guidelines.
- Provide subspecialty consultation when appropriate.
- Communicate reliably and constructively with peer reviewers.
- Disclose relevant conflicts of interest.
What it pays and takes
This is a fully remote, primarily asynchronous independent contractor engagement. The project lasts four weeks, covers assigned dermatology case batches, and includes occasional synchronous calls.
- Pay: Paid per task.
- Time: 20+ hours per week; up to 40 hours per week during peak batches.
- Location: Open to candidates in the United States.
- Language: Professional fluency in English.
- Required: Faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
- Required: American Board of Dermatology certification and an active medical license in at least one US state.
- Required: At least three years of experience after residency completion and an active clinical practice.
- Required: Subspecialty fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
- Preferred: Peer-reviewed dermatology publications, strong written clinical reasoning, and familiarity with current dermatology guidelines.
- Valued: Peer review, research or IRB committee service, resident or fellow teaching, or clinical AI evaluation experience.
- You should be comfortable reviewing graphic medical images and clinically complex cases, leading consensus work, following protocols, and maintaining careful written reasoning.
How it works
You apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI training work
AI training work uses human review and expertise to help improve artificial intelligence systems. Dermatology experts are needed because accurate evaluation of complex clinical cases requires knowledge, careful reasoning, and familiarity with medical guidelines.