[Hiring] Dermatologist @Turing

Role 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
• 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

Qualifications

• 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

Requirements

• 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

Benefits

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

Evaluation Process

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