Dermatology Medical Expert for AI Content Review

What You'll Do6

• Assess AI-generated clinical text for medical accuracy, safety, and completeness, focusing on dermatology.
• Evaluate dermatologic diagnoses, treatment plans, and summaries produced by large language models.
• Use a structured online tool to review dermatology images, noting issues with blur, lighting, exposure, color, and framing.
• Identify likely skin conditions in images, assign confidence ratings, and document your reasoning.
• 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.

Requirements7

• MBBS degree with completed residency in dermatology.
• At least 5 years of post-residency experience in dermatology.
• Must be based in India.
• Strong attention to visual detail.
• Comfort reviewing sensitive or graphic medical images.
• Comfortable navigating web-based annotation platforms, using image zoom and tools, and completing structured questionnaires.
• Experience 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.