Senior Dermatology Clinical AI Reviewer

The work

You will provide senior clinical review for complex or unclear dermatology cases used in AI evaluation and a longitudinal dermatology dataset. The work includes resolving disagreements, documenting defensible clinical consensus, and writing commentary based on current guidelines.

• Lead review of complex or ambiguous dermatology cases.
• Help resolve clinical disagreements among reviewers.
• Contribute to clinical evaluation frameworks and protocol-based review methods.
• Review AI model outputs and identify when subspecialty consultation is appropriate.
• Write clear, guideline-aligned clinical commentary and document consensus.
• Work with peer faculty reviewers on advisory tasks and communicate clearly.
• Review clinically complex cases and graphic medical images.

What it pays and takes

This is a remote, asynchronous, task-based independent contractor opportunity with occasional synchronous calls. The initial engagement lasts four weeks, with compensation determined by experience, academic standing, and clinical expertise; the payment structure is per label, but no rate is provided.

The engagement description anticipates an average workload of 15 hours per week and up to 40 hours per week during peak batches. The listing also specifies a 20-plus-hour weekly time requirement, so applicants should review the final workload expectations during application.

• Location: United States only.
• Language: 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.
• Required: Active medical license in good standing in at least one US state.
• Required: Active clinical practice and at least three years since residency completion.
• Required: Familiarity with current dermatology guidelines and strong clinical reasoning.
• Required: Ability to lead and document clinical consensus and follow project protocols.
• Helpful: Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Helpful: Dermatology publications, journal peer review, IRB or research committee service, resident or fellow teaching, specialty-society involvement, or clinical AI and digital health research.
• Disclosure: Be prepared to disclose potential conflicts involving dermatology AI, digital health, or pharmaceutical products in case content.

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 examples reviewed by people to improve how artificial intelligence handles real tasks. Clinical experts are needed to assess difficult cases, explain sound reasoning, and help make model outputs safer and more accurate.