The Work
You will provide senior clinical review for a longitudinal dermatology dataset used in clinical AI development. The work includes reviewing difficult cases, resolving disagreements among reviewers, and assessing AI-generated clinical outputs.
The duties and qualifications should be reviewed before applying because the role title and described clinical work may not fully align.
- Lead review of complex or ambiguous dermatology cases.
- Help resolve clinical disagreements through structured consensus.
- Contribute to frameworks for evaluating AI models.
- Provide expert feedback on AI-generated clinical outputs.
- Write clear, defensible commentary based on current dermatology guidelines.
- Offer dermatology subspecialty advice and document consensus.
- Work with graphic medical images, structured protocols, and clinically complex material.
- Disclose relevant conflicts involving products or organizations represented in case content.
What It Pays and Takes
This is a remote, part-time contractor role expected to last four weeks. Work is mainly asynchronous, with occasional synchronous calls.
- Pay: Compensation is paid per task and determined by experience, academic standing, and clinical expertise.
- Time: 20 or more hours per week.
- Location: Open to candidates based in the United States.
- Language: Professional fluency in English.
- Education and appointment: Faculty appointment at the 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.
- Clinical work: Active clinical practice and an active medical license in good standing in at least one US state.
- Skills: Strong written clinical reasoning, knowledge of current dermatology guidelines, and comfort with reviewer disagreement and structured review protocols.
Helpful Background
- Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
- Peer-reviewed dermatology publications.
- Journal peer review experience.
- IRB or research committee service.
- Experience teaching residents or fellows.
- Involvement with a specialty society.
- Prior clinical AI evaluation, digital health, or dermatology AI research.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training work uses human review to help build and evaluate artificial intelligence systems. People with clinical expertise are needed to judge model outputs, explain their reasoning, and create reliable examples for future systems.