Senior Dermatology Domain Expert at Turing

Dermatology Domain Expert | Contractor | Remote (US)

Turing is 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: you will lead clinical review on complex cases, contribute to clinical evaluation frameworks, and serve as expert advisor for client teams reviewing AI model outputs.

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.

Who it's for

• Faculty appointment at Assistant Professor rank 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, with active clinical practice.
• Subspecialty fellowship training (dermatopathology, Mohs/procedural, pediatric, or complex medical dermatology).
• Publication record in peer-reviewed dermatology journals.
• Active involvement with AAD, ASDS, or other dermatology specialty societies.
• Prior journal peer review experience and IRB or research committee service.
• Experience teaching residents or fellows.
• Deep familiarity with current dermatology guidelines.
• Strong written articulation of clinical reasoning suitable for peer review.
• Comfort with graphic medical images and clinical complexity.
• Prior exposure to clinical AI evaluation, digital health, or dermatology AI research is desired.

Pay and schedule

• Independent contractor (1099); compensation is set based on experience, academic standing, and clinical expertise.
• Pay-per-task engagement; anticipated average 15 hours per week, up to 40 during peak batches.
• Duration: 4 weeks, with potential for contract extension.
• Fully remote and asynchronous, with occasional synchronous calls.

Other details

• Applicants must disclose any active equity, advisory, consulting, or paid relationships with dermatology AI companies, digital health platforms, or pharmaceutical companies whose products may appear in case content. Disclosed conflicts do not automatically disqualify applicants but will be considered in case assignment.
• To apply, submit a CV (including faculty appointment details), two recent peer-reviewed publications, and a brief statement of interest (300 words) describing your experience with structured clinical writing or AI evaluation. Successful applicants complete a brief paid calibration assignment before full engagement, preceded by shortlisting and one interview round.
• NDA required upon engagement; detailed scope of work is shared after NDA execution.