Remote Medical Expert (Dermatology) - 62759

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.

Role Overview: We are hiring detail-oriented

Dermatology Doctors

to support large-scale dermatology image labeling projects. This role involves identifying skin conditions, labeling dermatological attributes, and drawing precise bounding boxes around lesions in accordance with strict medical-grade guidelines. This is a highly structured annotation role requiring accuracy, consistency, and strong clinical judgment.

What You'll Do Day-to-Day: Review and analyze dermatology images Identify and label skin conditions and relevant dermatological features Draw precise bounding boxes around lesions following defined standards Ensure accurate diagnosis ordering and attribute tagging Maintain consistency and quality across large volumes of images

Required Qualifications: MD/DNB in Dermatology 5+ years of post-residency clinical experience Strong attention to detail Ability to interpret dermatological features accurately Comfort working with sensitive or graphic medical images Ability to follow structured medical guidelines precisely Consistent, high-quality output

Performance Expectations: High labeling accuracy Strict adherence to bounding box and annotation standards Minimal over-boxing Correct diagnosis prioritization Consistent daily productivity

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: 4 weeks

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