Senior Dermatology Expert (AI Data) at Turing

Dermatology Expert | Pay varies | Remote (US)

Turing is hiring US-based academic dermatologists to contribute senior clinical expertise to data curation for frontier AI models and labs. You will lead clinical review on complex cases for a longitudinal dermatology dataset, help develop clinical evaluation frameworks, and act as an expert advisor to client teams reviewing AI model outputs. This is the senior reviewer track, designed for dermatology faculty interested in AI evaluation and the 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.

Requirements

• 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 an active clinical practice.
• Subspecialty fellowship training (dermatopathology, Mohs/procedural, pediatric, or complex medical dermatology).
• Publication record in peer-reviewed dermatology journals.
• Prior journal peer review experience and prior IRB or research committee service.
• Experience teaching residents or fellows.
• Deep familiarity with current dermatology guidelines and strong written articulation of clinical reasoning.
• Comfort with graphic medical images and clinical complexity; disciplined adherence to project protocols.
• Prior exposure to clinical AI evaluation, digital health, or dermatology AI research is desired, as is involvement with AAD, ASDS, or other dermatology specialty societies.

Pay and schedule

• Independent contractor (1099), pay per task. Compensation is determined by years of experience, academic standing, and clinical expertise.
• Anticipated average of 15 hours per week; up to 40 hours per week during peak batches.
• Engagement duration: 4 weeks, with potential for contract extension.
• Fully remote and asynchronous, with occasional synchronous calls.

Other details

• NDA required upon engagement; detailed scope of work shared after NDA execution.
• 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.

Evaluation process

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. Shortlisting is based on qualifications, followed by one round of interviews. Successful applicants complete a brief paid calibration assignment before full engagement.