Dermatologist

Turing•Chicago, IL

2d•Remote

About The Position

Turing is seeking an experienced, US-based Dermatologist to evaluate and improve large language model (LLM) outputs in the medical domain. The work includes reviewing dermatology images using a structured online evaluation tool and assessing image quality and diagnostic usability, including blur, lighting, exposure, colour, and framing. Where applicable, the Dermatologist will identify likely skin conditions, assign confidence ratings, and document the rationale. The role also involves reviewing AI-generated medical text for accuracy, harmfulness, and completeness; evaluating diagnoses, treatment plans, and summaries for dermatologic cases; and providing expert feedback to improve the medical integrity and safety of LLM outputs. The Dermatologist will collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards. This is a freelance contractor assignment. The commitment is at least four hours per day and 40 hours per week, including four hours of overlap with PST. The assignment lasts 12 weeks. Applicants are shortlisted based on qualifications and assessment scores, followed by one interview round.

Requirements

Be based in the United States.
Hold an MD or MBBS and specialize in Dermatology or have an equivalent qualification.
Be fully licensed and practicing medicine in the United States.
Have at least five years of post-residency experience practicing as a dermatologist.
Have strong visual attention to detail.
Be comfortable reviewing sensitive or graphic medical images.
Be technically savvy and able to use web-based annotation platforms, image zoom/tools, detailed guidelines, and structured questionnaires.
Commit to at least four hours per day and 40 hours per week, including four hours of overlap with PST.

Nice To Haves

Experience in medical content review, clinical research, annotation, or AI/ML evaluation.

Responsibilities

Review AI-generated medical text for accuracy, harmfulness, and completeness, with a focus on dermatology.
Evaluate diagnoses, treatment plans, and summaries for dermatologic cases.
Review dermatology images using a structured online evaluation tool.
Assess image quality and diagnostic usability, including blur, lighting, exposure, colour, and framing.
Where applicable, identify likely skin conditions, assign confidence ratings, and document rationale.
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.