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. Main tasks listed: 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. The listing says the work can involve sensitive or graphic content.
Experience
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)
Selection process
Apply through the official Turing page (free account required). The listing describes this selection process: To apply Submit 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 will complete a brief paid calibration assignment before full engagement.; Shortlisting based on qualifications and one round of interview.
Eligibility
Not stated on the listing (remote)