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About the Role
We are hiring US-based academic dermatologists to contribute senior clinical expertise to data curation for frontier AI models and labs. The work supports a longitudinal dermatology dataset used by AI developers, regulatory teams, and academic groups. This is the senior reviewer track of the project. You will lead clinical review on complex cases, contribute to the development of clinical evaluation frameworks, and serve as expert advisor for client teams reviewing AI model outputs. The role is designed for dermatology faculty who want their academic expertise to count toward something rigorous, and who are interested in AI evaluation, methodology, and the durable infrastructure of clinical AI.
What You'll Do
- Lead senior-level clinical review on complex or ambiguous cases.
- Facilitate structured resolution of clinical disagreement among reviewers.
- Contribute to the development of clinical evaluation frameworks.
- Provide expert advisory hours to client teams reviewing AI model outputs
- Author guideline-aligned clinical commentary on cases as needed.
- Provide subspecialty consultation as appropriate
You're a Good Fit If You
- Required skills: Dermatology
- Faculty appointment at the rank of Assistant Professor or above at an accredited US medical school or academic medical center
- Minimum 3 years post-residency completion
- Board-certified in dermatology by the American Board of Dermatology
- Active medical license in good standing in at least one US state
- Active clinical practice
- Subspecialty fellowship training (dermatopathology, Mohs/procedural, pediatric, or complex medical dermatology).
- Publication record in peer-reviewed dermatology journals.
- Prior exposure to clinical AI evaluation, digital health, or dermatology AI research (desired).
Role Highlights
Pay & Payout
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