[Hiring] Clinical Note Review for Diagnosis Extraction @Terac

Role Description

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:

• Read and interpret de-identified eye care clinical notes
• Evaluate extracted ICD-10 diagnosis codes for clinical accuracy
• Verify that eye laterality is correctly captured based on the text
• Identify and flag unsupported or missing diagnostic codes

Qualifications

• Professional experience in eye care clinical documentation or medical coding
• Strong working knowledge of ICD-10 diagnosis coding guidelines
• Familiarity with optometry or ophthalmology terminology
• Availability to complete asynchronous review tasks between October 28 and November 2

Requirements

• Deep experience in ophthalmology or optometry clinical documentation
• Certified medical coders specializing in eye care
• Practicing optometrists, ophthalmologists, and clinical documentation improvement specialists
• Strong working knowledge of ICD-10 guidelines specifically regarding eye laterality and complex ocular diagnoses

Benefits

• Compensation: $200 per hour

Company Description

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 .