Terac is an AI‑native research platform that sources participants, conducts human‑like interviews at scale, analyzes results, and pays out participants - delivering actionable insights in hours, not weeks. Backed by Emergence Capital.
About the role
Review de-identified clinical records and dermatological images Evaluate AI-generated diagnostic outputs for clinical accuracy
More about this role
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.
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.
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...
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