Dermatologists: Evaluation of AI Diagnostic Outputs
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What you'll do
- Review de-identified clinical records and dermatological images
- Evaluate AI-generated diagnostic outputs for clinical accuracy
- Compare automated findings against standard dermatological reference benchmarks
- Provide detailed clinical assessments on the reliability of the generated diagnoses
What they're looking for
- Practicing dermatologist or clinical specialist in dermatology
- Extensive experience diagnosing conditions from dermatological imagery
- Familiarity with clinical reference standards for skin conditions
- Comfortable completing detailed diagnostic reviews on a desktop platform
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
What We're Researching
We're running a paid study on the accuracy and clinical utility of AI diagnostic tools in dermatology. This research helps us understand how automated image assessments compare to standard reference benchmarks in real clinical scenarios. Your clinical expertise will directly inform the evaluation and validation of these diagnostic models.
How It Works
You will review a series of de-identified clinical records alongside high-resolution dermatological images. During the remote session, you will examine the AI-generated diagnostic outputs provided for each specific case. We will ask you to compare these automated outputs against established reference standards and provide your professional clinical assessment. The format involves a guided desktop review where you will record structured feedback on the accuracy and relevance of the findings.
Who This Is For
We are looking for practicing dermatologists or clinical professionals with deep expertise in dermatological diagnostics. We welcome board-certified dermatologists, dermatology residents, and clinical specialists who routinely diagnose skin conditions in practice. Candidates should be highly comfortable evaluating clinical imagery and applying standard diagnostic criteria.
What You'll Do
Review de-identified clinical records and dermatological images
Evaluate AI-generated diagnostic outputs for clinical accuracy
Compare automated findings against standard dermatological reference benchmarks
Provide detailed clinical assessments on the reliability of the generated diagnoses
Who Should Apply
Practicing dermatologist or clinical specialist in dermatology
Extensive experience diagnosing conditions from dermatological imagery
Familiarity with clinical reference standards for skin conditions
Comfortable completing detailed diagnostic reviews on a desktop platform
Compensation
$300 per hour
Ready to participate?
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
Company
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