Earth Science Domain Expert (Dermatology AI)

You will provide senior clinical review for dermatology case batches and support evaluation of AI model outputs. The work includes complex or ambiguous cases, longitudinal dermatology data, and clinically complex material that may require subspecialty input.

• Review assigned dermatology cases and help resolve disagreements among clinical reviewers.
• Contribute to clinical evaluation frameworks and clinically defensible documentation.
• Advise teams assessing AI model outputs and write commentary aligned with current dermatology guidelines.
• Provide subspecialty consultation and maintain reliable communication with peer reviewers.
• Work with clinical documents and graphic medical images.

What it pays and takes

This is a remote, asynchronous independent contractor engagement with occasional synchronous calls. The engagement lasts four weeks, and assignments may depend on project needs.

• Payment type: Per label. A specific rate is not provided.
• Workload: 20+ hours per week; the engagement description also supports up to 40 hours during peak batches.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Experience level: Entry level.
• Hold a faculty appointment at the Assistant Professor rank or above at an accredited US medical school or academic medical center.
• Be board certified in dermatology by the American Board of Dermatology, have at least three years after residency completion, and maintain an active clinical practice.
• Hold an active medical license in good standing in at least one US state.
• Show strong written clinical reasoning, the ability to document clinical consensus, and deep knowledge of current dermatology guidelines.
• Helpful background includes fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Peer-reviewed publications, journal peer review, IRB or research committee service, resident or fellow teaching, specialty-society involvement, and prior clinical AI or digital health research are also relevant.

How it works

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

About AI training work

AI training is the human work behind artificial intelligence, including reviewing documents, rating model outputs, and writing examples that help models improve. Experienced specialists are needed when the work depends on sound judgment in fields such as medicine. The title names earth science, while the supplied duties and qualifications focus on dermatology, so review those details before applying.