Medical Experts - Dermatology

Donato Technologies Inc; United States; Remote; USD 120,000 - 160,000; Part time

Job summary

Turing is seeking a US-based dermatologist to remotely evaluate and enhance large language model outputs in dermatology. You will review AI-generated clinical text and image-related assessments for accuracy, safety, and relevance, providing expert feedback to guide model development.

You must hold a US medical license with at least 5 years post-residency experience in Dermatology and be comfortable handling sensitive medical images and structured questionnaires.

Qualifications

• Based in the US (mandatory).
• Licensed MD or MBBS with Dermatology specialization.
• Minimum 5 years post-residency experience as a dermatologist.
• Must be licensed and practicing medicine in the USA.

Responsibilities

• Review AI-generated medical text for dermatology accuracy, safety, and completeness.
• 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 dermatology standards.

Skills

Visual attention

Image review

Annotation platforms

Education

MD/MBBS Dermatology

Tools

Web-based annotation tools

Job description

• Medical Experts - Dermatology
• Employment Type Contractor assignment (no medical/paid leave)
• Location USA (Only)
• A minimum of 5 years of post-residency experience practicing as a dermatologist
• Start Date: Expected 1st date: Sept 24th
• Engagement Length 12 weeks
• Commitment Required Full-time or part-time (40h, 30h, 20h/week ), with at least 4 hours of overlap during PST business hours.

About Turing:

Based in San Francisco, California, Turing is the worlds 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 US-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 will 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:

• Based in the US (mandatory).
• Licensed Medical Doctor (MD or MBBS) with specialization in Dermatology or equivalent qualification.
• Must be fully licensed and practicing medicine within the USA.
• Minimum 5 years post-residency experience practicing as dermatologist.
• 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.

This is a remote position.