Medical Experts Dermatology

Donato Technologies Inc; Dallas (TX); Remote; USD 120,000 - 210,000; Full time

Benefits offered by this job

Remote work

Job summary

Donato Technologies is seeking an experienced Dermatologist to evaluate and enhance AI-generated medical content for dermatology accuracy, safety, and relevance. You will review AI-produced clinical text and dermatology images using a structured online evaluation tool.

Based in the United States, you will provide expert feedback on diagnoses, treatments, and summaries, identify potential safety concerns, and document rationale to improve the integrity of AI outputs.

Qualifications

• Licensed MD/DO with Dermatology specialization.
• 5+ years post-residency in dermatology.
• US licensed and practicing.
• Based in US.

Responsibilities

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

Skills

Dermatology expertise

Medical content review

Diagnostic accuracy

Attention to detail

Education

MD or MBBS with Dermatology specialization

Tools

Annotation platform

Image viewer

Job description

Greetings from Donato Technologies

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.