Dermatology Domain Expert; AI Evaluation Turing Turing · Varies · remote in US · ago Varies remote in US ago

Dermatology Expert | Pay Varies | Remote in 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 of the project.

• 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.

• 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).
• 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, and the ability to lead and document clinical consensus.

• Independent contractor (1099). Compensation is determined based on years of experience, academic standing, and clinical expertise.
• Pay-per-task engagement. 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.

• Clinically defensible documentation and consistent reliability with peer faculty reviewers.
• Constructive client-facing communication during advisory hours.
• Conflict of interest disclosure: applicants will be asked to disclose 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.