Dermatologists: Evaluation of AI Diagnostic Outputs
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-09-10). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$300/hr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 4d ago · last seen 1h ago
The listing
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.