Senior Dermatology Expert - AI Data Review at Turing

Senior Dermatology Expert (AI Data Review) | Remote (US) | Independent contractor, pay per task

About the Role

Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities. 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.

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, plus 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).
• 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.
• Ability to lead and document clinical consensus, and comfort with graphic medical images and clinical complexity.

Performance Expectations

• Senior reviewer responsibility on assigned case batches with clinically defensible documentation.
• Consistent reliability with peer faculty reviewers and constructive client-facing communication during advisory hours.
• Conflict of interest disclosure required: active equity, advisory, consulting, or paid relationships with dermatology AI companies, digital health platforms, or pharmaceutical companies whose products may appear in case content must be disclosed. Disclosed conflicts do not automatically disqualify applicants but will be considered in case assignment.

Pay, Schedule and Duration

• Independent contractor (1099). Compensation determined based on years of experience, academic standing, and clinical expertise.
• Pay per task; project- and assignment-dependent timeline.
• Anticipated average 15 hours per week; up to 40 hours per week during peak batches.
• Duration: 4 weeks, with potential for contract extension.
• Fully remote and asynchronous, with occasional synchronous calls.
• NDA required upon engagement; detailed scope of work shared after NDA execution.

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