Medical Expert – Dermatology

turing; San Francisco (CA); Remote; USD 21,000 - 50,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Exposure to LLMs

Job summary

Turing is seeking an experienced Dermatologist to evaluate and enhance large language model outputs in the medical domain, focusing on dermatology accuracy and safety. The role involves reviewing AI-generated clinical content and image-based assessments for diagnostic usability.

The India-based dermatologist will work remotely on a 12-week contractor assignment, with emphasis on evidence-based dermatology standards and collaboration with AI researchers.

Qualifications

• MBBS with completed Dermatology residency.
• Minimum 5 years of post-residency experience in dermatology.
• Based in India (mandatory).
• Strong visual attention to detail.
• Comfortable reviewing sensitive or graphic medical images.
• Technically savvy with web-based annotation platforms and structured questionnaires.

Responsibilities

• Review AI-generated medical text for dermatology accuracy, safety, and completeness.
• Evaluate diagnoses and treatment plans for dermatologic cases.
• Provide expert feedback to improve medical integrity of AI outputs.
• Collaborate with AI researchers and clinicians to align model performance with dermatology standards.

Skills

Dermatology expertise

Attention to detail

Medical content review

Education

MBBS with Dermatology residency

Tools

Annotation platform

Image evaluation toolkit

Job description

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 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 India-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; and, where applicable, 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.

Requirements:

• MBBS with completed Dermatology residency.
• Minimum 5 years of post-residency experience in dermatology.
• Based in India (mandatory).
• 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.
• 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: 12 weeks

Evaluation Process:

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