Why this role stands out
This remote opportunity offers a unique chance to leverage your dermatology expertise to shape the future of AI in healthcare, directly impacting the accuracy and safety of medical information. If you are a US-licensed Dermatologist with at least five years of experience and a keen eye for detail, you will thrive in this role, contributing to cutting-edge advancements from the comfort of your home. Apply today to be at the forefront of medical AI innovation!
Quick overview
Eligibility: Must be fully licensed and practicing medicine within the USA.
Job description
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'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:
- 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.
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