Board-Certified Dermatologist – Medical AI Image & Clinical Content Reviewer
Job Description
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Medical Experts - Dermatology
- Employment Type Contractor assignment (no medical/paid leave)
- Location USA (Only)
- A minimum of 5 years of post-residency experience practicing as a dermatologist
- Start Date: Expected 1st date: Sept 24th
- Engagement Length 12 weeks
- Commitment Required Full-time or part-time (40h, 30h, 20h/week ), with at least 4 hours of overlap during PST business hours.
Role Overview:
We are seeking an experienced Dermatologist to help evaluate and enhance large
language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical
content for dermatological accuracy, safety, and relevance — contributing to the
development of responsible AI in healthcare.
We are seeking US-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 will 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:
? Based in the US (mandatory).
? Licensed Medical Doctor (MD or MBBS) with specialization in Dermatology or
equivalent qualification.
? Must be fully licensed and practicing medicine within the USA.
? Minimum 5 years post-residency experience practicing as dermatologist.
? 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.
