About The Position

Turing is seeking an experienced, India-based dermatologist to evaluate and improve large language model (LLM) outputs in the medical domain. The role focuses on assessing AI-generated clinical content for dermatological accuracy, safety, and relevance, helping develop responsible AI for healthcare. The work also involves reviewing dermatology images through a structured online evaluation tool, assessing image quality and diagnostic usability, and, where applicable, identifying likely skin conditions, assigning confidence ratings, and documenting the rationale. This is a fully remote freelance contractor assignment lasting 12 weeks. The commitment is at least four hours per day and 40 hours per week, including four hours of overlap with PST. There is no medical or paid leave. Candidates are shortlisted based on qualifications and assessment scores, followed by one interview round.

Requirements

  • MBBS with completed Dermatology residency.
  • At least 5 years of post-residency experience in dermatology.
  • Must be based in India.
  • 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 the rationale.
  • Use web-based annotation platforms, image zoom/tools, detailed guidelines, and structured questionnaires.

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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