Domain Expert – Life Science (Dermatology) | Contractor | Remote (US-Based)
Turing is seeking board-certified academic dermatologists to serve as senior clinical reviewers for a longitudinal dermatology dataset supporting frontier AI model development. This is a high-impact, flexible freelance role designed for dermatology faculty who want to apply their expertise to rigorous AI evaluation and clinical data 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 and Fortune 500 enterprises to generate high-quality training data, evaluations, and reinforcement learning environments. In clinical AI, Turing closes the loop between frontier research and real-world deployment — turning deployment signals into better models and more capable systems.
Role Overview
As a Senior Domain Expert in Dermatology, you will lead clinical review on complex 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 clinical AI methodology and durable research infrastructure.
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 where 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)
- Peer-reviewed publication record in dermatology journals
- Experience teaching residents or fellows
- Deep familiarity with current dermatology clinical guidelines
- Strong written clinical reasoning skills suitable for peer review
- Ability to lead and document clinical consensus
Preferred Qualifications
- 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
Engagement Details
- Type: Independent Contractor (1099) — Pay Per Task
- Schedule: Fully remote and asynchronous; ~15 hrs/week average, up to 40 hrs/week during peak periods
- Duration: 4 weeks (with potential for extension)
- Compensation: Based on years of experience, academic standing, and clinical expertise
- NDA required upon engagement; full scope of work shared post-NDA
Perks of Freelancing with Turing
- Competitive pay with flexible, remote work
- Gain firsthand insight into how advanced AI systems are trained and evaluated
- Collaborate with top LLM companies on cutting-edge projects
- Build future-proof skills at the intersection of medicine and AI
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.
