Remote Dermatology AI Reviewer — India
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-09-25
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Doctor/Physician
Dermatologist
Role Overview:
We are seeking an experienced Dermatologist to help evaluate and enhance large language model (LLM) outputs in the medical domain. Youll assess AI-generated clinical content for dermatological accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare.
We are seeking India-based dermatologists to review dermatology images using a structured online evaluation tool. The work involves assessing image quality and diagnostic usability; identifying concerns such as blur, lighting, exposure, colour, and framing; and, where applicable, identifying likely skin conditions, assigning confidence ratings, and documenting rationale.
What You'll Do Day-to-Day:
- Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology.
- Evaluate diagnoses, treatment plans, and summaries for dermatologic cases.
- Provide expert feedback to improve medical integrity and safety of LLM outputs.
- Collaborate 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.
- Based in India (mandatory).
- Strong visual attention to detail
- Comfortable reviewing sensitive or graphic medical images
- Technically savvy—able to navigate web-based annotation platforms, use image zoom/tools, follow detailed guidelines, and accurately complete structured questionnaires.
- Experience in medical content review, clinical research, annotation or AI/ML evaluation preferred.
Perks of Freelancing with Turing:
- Work on the cutting edge of AI.
- Fully remote and flexible work environment.
- Exposure to advanced LLMs and insight into how they’re trained.
Offer Details:
- Engagement type :
Contractor assignment/freelancer (no medical/paid leave) - Duration: 12 weeks
Evaluation Process:
- Shortlisting based on qualifications, assessment scores and one round of interview.
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