Remote Dermatologist

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.

• 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 the medical integrity and safety of LLM outputs.
• Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards.

• 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 of post-residency experience practicing as a 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.

• Work on the cutting edge of AI.
• Fully remote and flexible work environment.
• Exposure to advanced LLMs and insight into how they’re trained.

• Engagement type:
  Contractor assignment/freelancer (no medical/paid leave)
• Commitment
  
  Required:
  
  At least 4 hours per day and a total of 40 hours per week with 4 hours of overlap with PST.
• Duration: 12 weeks

• Shortlisting based on qualifications, assessment scores and one round of interview.