Academic Dermatologist – Senior Clinical Reviewer | Contractor | Remote (US Only)
Turing is seeking US-based academic dermatologists to serve as Senior Clinical Reviewers on a longitudinal dermatology dataset supporting frontier AI model development. This is a rigorous, faculty-level engagement designed for dermatologists who want their expertise to shape the future of clinical AI evaluation.
About Turing
Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing partners with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, and multimodality. Turing also works with Fortune 500 enterprises across Healthcare, Life Sciences, Financial Services, and more to deploy end-to-end agentic AI systems in mission-critical workflows.
Role Overview
As a Senior Clinical Reviewer, you will lead clinical review on complex and ambiguous dermatology cases, contribute to evaluation framework development, and serve as an expert advisor to client teams assessing AI model outputs. This role is ideal for dermatology faculty seeking meaningful engagement with AI methodology and clinical data infrastructure.
What You'll Do
- Lead senior-level clinical review on complex or ambiguous cases
- Facilitate structured resolution of clinical disagreements 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
- 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
- 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
- Must be a US resident
- Deep familiarity with current dermatology guidelines
- Strong written articulation of clinical reasoning suitable for peer review
- Ability to lead and document clinical consensus
- Comfort with graphic medical images and clinical complexity
- Disciplined adherence to project protocols
Performance Expectations
- Senior reviewer responsibility on assigned case batches
- Clinically defensible documentation throughout
- Consistent reliability with peer faculty reviewers
- Constructive client-facing communication during advisory hours
- Full conflict of interest disclosure required (active equity, advisory, consulting, or paid relationships with dermatology AI companies, digital health platforms, or pharma companies may be considered in case assignment but do not automatically disqualify applicants)
Engagement Details
- Type: Independent Contractor (1099), Pay Per Task
- Hours: ~15 hrs/week average; up to 40 hrs/week during peak batches
- Duration: 4 weeks (with potential for extension)
- Format: Fully remote and asynchronous, with occasional synchronous calls
- NDA required upon engagement; full scope of work shared after NDA execution
How to Apply
Submit your CV (including faculty appointment details), two recent peer-reviewed publications, and a brief statement of interest (300 words max) describing your experience with structured clinical writing or AI evaluation. Shortlisted candidates will complete a brief paid calibration assignment before full engagement begins.
