Remote Medical Expert – Dermatology (USA)

Turing•Boston, MA
•Remote

About The Position

Turing is seeking an experienced, US-based Dermatologist to evaluate and enhance large language model (LLM) outputs in the medical domain. The role focuses on assessing AI-generated clinical content for dermatological accuracy, safety, and relevance to support responsible AI development in healthcare. The work includes reviewing dermatology images through a structured online evaluation tool, 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 rationale. The engagement is a 12-week contractor/freelancer assignment. It requires at least four hours per day and 40 hours per week, including four hours of overlap with PST. The position is fully remote and flexible. There is no medical or paid leave. Candidates are shortlisted based on qualifications and assessment scores, followed by one interview round.

Requirements

  • Must be based in the United States.
  • Must be a licensed Medical Doctor (MD or MBBS) with specialization in Dermatology or an equivalent qualification.
  • Must be fully licensed and practicing medicine within the United States.
  • Minimum of 5 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 navigate web-based annotation platforms, use image zoom/tools, follow detailed guidelines, and accurately complete structured questionnaires.
  • Commitment of at least 4 hours per day and 40 hours per week, with 4 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.
  • 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.
  • 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 rationale.

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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