Dermatology Consultant - 50421

Role Overview : 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.

No AI experience required.

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 :

MD / DNB (Dermatology) or equivalent postgraduate qualification with valid medical license.

Minimum 5 years of post-residency experience in dermatology.

Strong command of English for interpreting clinical content and guidelines.

Excellent analytical and critical thinking skills with focus on patient safety and accuracy.

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

Familiarity with global dermatology guidelines (e.g., AAD, BAD, IADVL) is a plus.

Perks of Freelancing with Turing :

Work on the cutting edge of AI.

Fully remote and flexible work environment.

Exposure to advanced LLMs and insight into how they’re trained.

Offer Details :

Engagement type : Contractor assignment / freelancer (no medical / paid leave)

Duration : 1 week

Evaluation Process : Shortlisting based on qualifications and one round of interview.

About Turing :

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways : first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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