Dermatologist

Turing•Chicago, IL

2d•Remote

About The Position

Turing is seeking US-based, experienced dermatologists to evaluate and improve large language model outputs in the medical domain. The work includes reviewing AI-generated clinical content for dermatological accuracy, safety, and relevance, as well as reviewing dermatology images through a structured online evaluation tool. Image review may involve assessing quality and diagnostic usability, identifying issues such as blur, lighting, exposure, colour, and framing, and, where applicable, identifying likely skin conditions, assigning confidence ratings, and documenting rationale. The role requires a commitment of at least 4 hours per day and 40 hours per week, including 4 hours of overlap with Pacific Standard Time. The assignment lasts 12 weeks and is a contractor/freelancer engagement with no medical or paid leave. The position is fully remote and offers flexible work. Shortlisting is 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 within the USA.
Have at least 5 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 accurately.
Commit to at least 4 hours per day and 40 hours per week, with 4 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.
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.
Review dermatology images and assess their quality and diagnostic usability.
Identify image concerns such as blur, lighting, exposure, colour, and framing.
Where applicable, identify likely skin conditions, assign confidence ratings, and document rationale.
Use a structured online evaluation tool to complete image reviews and related questionnaires.