Domain Expert: Dermatology (Senior Reviewer) | Varies | Remote in US
Turing is seeking US-based academic dermatologists to serve as senior clinical reviewers contributing expert-level insight to frontier AI model development. This is a fully remote, flexible freelance engagement ideal for dermatology faculty who want their academic expertise to shape the future of clinical AI infrastructure.
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. Turing also works with Fortune 500 enterprises across Financial Services, Life Sciences, Healthcare, and more to build and deploy end-to-end agentic AI systems in mission-critical workflows.
Role Overview
As a Senior Clinical Reviewer, you will lead review on complex dermatology cases, contribute to clinical evaluation frameworks, and serve as an expert advisor to client teams assessing AI model outputs. This role is designed for faculty-level dermatologists interested in AI evaluation methodology and the rigorous infrastructure of clinical AI.
What You'll Do
- Lead senior-level clinical review on complex or ambiguous dermatology 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
- Faculty appointment at Assistant Professor level 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
- Deep familiarity with current dermatology guidelines
- Strong written clinical reasoning skills suitable for peer review
- Ability to lead and document clinical consensus
- Comfort with graphic medical images and clinical complexity
Desired:
- 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 or IRB/research committee experience
- Experience teaching residents or fellows
Engagement Details
- Type: Independent Contractor (1099) — Pay Per Task
- Hours: ~15 hrs/week average; up to 40 hrs/week during peak periods
- Duration: 4 weeks (with potential for extension)
- Format: Fully remote and asynchronous, with occasional synchronous calls
- NDA required upon engagement; full scope shared after NDA execution
Perks
- Competitive, flexible remote work
- Insight into how advanced AI systems are trained and evaluated
- Collaboration with top LLM companies and frontier AI labs
- Future-proof skills and global collaboration opportunities
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.
