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 includes reviewing dermatology images through a structured online evaluation tool and assessing image quality and diagnostic usability, including blur, lighting, exposure, colour, and framing. Where applicable, the reviewer will identify likely skin conditions, assign confidence ratings, and document the rationale. The role also involves reviewing AI-generated medical text and evaluating dermatological diagnoses, treatment plans, and summaries for accuracy, safety, relevance, harmfulness, and completeness. The expert will provide feedback to improve the medical integrity and safety of LLM outputs and collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards. This is a fully remote, flexible freelance contractor assignment lasting 12 weeks. The engagement does not include medical or paid leave.

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.

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.
  • Use image zoom and other web-based annotation tools, follow detailed guidelines, and complete structured questionnaires accurately.

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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