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
Evaluate extracted ICD-10 diagnosis codes for clinical accuracy Verify that eye laterality is correctly captured based on the text Found on 1752vc Careers, the job board for startup and VC roles.
More about this role
We're running a paid study evaluating how accurately ICD-10 diagnosis codes and eye laterality can be extracted from clinical documentation. This work helps improve automated clinical coding systems by ensuring that extracted codes are fully supported by the underlying narrative text. Your expertise will provide the clinical verification needed to measure extraction quality.
You will work remotely to review a series of de-identified eye care clinical notes. For each note, you will evaluate whether the provided ICD-10 codes and eye laterality match the clinical evidence found in the text. You will flag discrepancies, missing information, or unsupported code assignments directly in our review platform. The project is fully asynchronous and runs from October 28 to November 2.
We are looking for professionals with deep experience in ophthalmology or optometry clinical documentation. We welcome certified medical coders specializing in eye care, practicing optometrists, ophthalmologists, and clinical documentation improvement specialists. Ideal candidates have a strong working knowledge of ICD-10 guidelines specifically regarding eye laterality and complex ocular diagnoses.
Read and...
Browse similar: Startup jobs · Remote jobs