About The Position

Turing is seeking an experienced India-based dermatologist to help evaluate and improve large language model outputs in the medical domain. The role includes reviewing dermatology images using a structured online evaluation tool and assessing image quality and diagnostic usability, including blur, lighting, exposure, colour, and framing. Where applicable, the expert identifies likely skin conditions, assigns confidence ratings, and documents rationale. The expert also reviews AI-generated medical text for dermatological accuracy, safety, relevance, harmfulness, and completeness. This includes evaluating diagnoses, treatment plans, and case summaries, and providing expert feedback to improve the medical integrity and safety of LLM outputs. The position involves collaborating with AI researchers and clinicians to align model performance with evidence-based dermatology standards.

Requirements

  • MBBS with completed Dermatology residency.
  • Minimum 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 use web-based annotation platforms and image zoom/tools, follow detailed guidelines, and complete structured questionnaires accurately.

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 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.
  • Exposure to advanced LLMs and insight into how they are trained.
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