Dermatology Medical Expert for AI Content Review
Listing checked September 8, 2026 · pay as published by Turing
Overview
Turing, a San Francisco-based research accelerator for frontier AI labs, is bringing on board a dermatologist to review AI-generated clinical content. You will check LLM outputs for dermatological accuracy, safety, and completeness, covering diagnoses, treatment plans, and patient summaries. The role involves working with structured online tools to assess images for quality issues like blur, lighting, or framing, and flagging potential skin conditions with confidence ratings. You will collaborate with researchers and clinicians to keep model outputs aligned with evidence-based dermatology standards. This is a fully remote contractor assignment lasting 12 weeks, open only to candidates based in India.
What You'll Do6
- 1Assess AI-generated clinical text for medical accuracy, safety, and completeness, focusing on dermatology.
- 2Evaluate dermatologic diagnoses, treatment plans, and summaries produced by large language models.
- 3Use a structured online tool to review dermatology images, noting issues with blur, lighting, exposure, color, and framing.
- 4Identify likely skin conditions in images, assign confidence ratings, and document your reasoning.
- 5Provide expert feedback to improve the medical integrity and safety of LLM outputs.
- 6Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards.
Requirements7
- 1MBBS degree with completed residency in dermatology.
- 2At least 5 years of post-residency experience in dermatology.
- 3Must be based in India.
- 4Strong attention to visual detail.
- 5Comfort reviewing sensitive or graphic medical images.
- 6Comfortable navigating web-based annotation platforms, using image zoom and tools, and completing structured questionnaires.
- 7Experience with medical content review, clinical research, annotation, or AI/ML evaluation is preferred.
Who Should Apply
The ideal candidate is a practicing dermatologist with an MBBS and a completed residency, backed by 5 or more years of hands-on clinical experience. You could work in academia, private practice, or research, but you need strong visual acuity and comfort with graphic medical content. This role is less suited to dermatologists who prefer patient-facing work over careful digital review or who struggle with repetitive, detail-heavy tasks. Rejections often come from missing the India residency requirement, lacking the minimum post-residency years, or failing to demonstrate enough experience with annotation platforms or structured evaluations.
Location
Compensation
Undisclosed by Turing
Required Skills
Application Tip
Highlight specific cases where you reviewed medical images or content for accuracy, especially if you used structured tools or contributed to clinical research. Quantify your years of dermatology practice and mention any direct experience with AI model evaluation or annotation platforms.
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