Remote Medical Expert – Dermatology (USA)

Turing•Chicago, IL
•Remote

About The Position

Turing is seeking an experienced, US-based Dermatologist to evaluate and improve large language model (LLM) outputs in the medical domain. The expert will assess AI-generated clinical content for dermatological accuracy, safety, and relevance, contributing to responsible AI development in healthcare. The work includes reviewing dermatology images through a structured online evaluation tool. Tasks include assessing image quality and diagnostic usability; identifying issues such as blur, lighting, exposure, colour, and framing; and, where applicable, identifying likely skin conditions, assigning confidence ratings, and documenting the rationale. The role also involves reviewing AI-generated medical text and dermatological diagnoses, treatment plans, and summaries. This is a contractor/freelancer assignment lasting 12 weeks. The required commitment is at least four hours per day and 40 hours per week, with four hours of overlap with Pacific Standard Time. The role is fully remote and flexible. Applicants are shortlisted based on qualifications and assessment scores, followed by one interview round.

Requirements

  • Must be based in the United States.
  • Must hold a medical doctor qualification (MD or MBBS) with specialization in Dermatology or an equivalent qualification.
  • Must be fully licensed and practicing medicine in the United States.
  • At least five years of post-residency experience practicing as a dermatologist.
  • Strong visual attention to detail.
  • Comfortable reviewing sensitive or graphic medical images.
  • Technically savvy and able to use web-based annotation platforms, image zoom/tools, detailed guidelines, and structured questionnaires.
  • Commit to at least four hours per day and 40 hours per week, including four hours of overlap with PST.

Nice To Haves

  • Experience in medical content review, clinical research, annotation, or AI/ML evaluation.

Responsibilities

  • Review AI-generated medical text for accuracy, harmfulness, and completeness, with a focus on dermatology.
  • Evaluate diagnoses, treatment plans, and summaries for dermatological cases.
  • Review dermatology images using a structured online evaluation tool.
  • Assess image quality and diagnostic usability, including blur, lighting, exposure, colour, and framing.
  • Where applicable, identify likely skin conditions, assign confidence ratings, and document the rationale.
  • Provide expert feedback to improve the medical integrity and safety of LLM outputs.
  • Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards.

Benefits

  • Fully remote and flexible work environment.
  • Opportunity to work on the cutting edge of AI.
  • Exposure to advanced LLMs and insight into how they are trained.
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