Eye Care Specialists: Clinical Note Review for Diagnosis Extraction
Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you.
About the role
What We're Researching
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.
How It Works
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.
Who This Is For
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.
What You'll Do
- 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
Who Should Apply
- 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
Compensation
$200 per hour
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 .
Where you can work
This role is 100% remote, for applicants located in United States.
From Terac's job posting, checked Oct 27, 2026.
The application
Just your details.
From Terac's apply page, checked Oct 27, 2026.
About Terac
Browse live AI-training and paid-study listings, each with pay shown upfront.
How it pays: Terac wallet, cashed out through Whop: $12.50 minimum, up to $10,000 a day (its payment docs, read 15 Oct 2026).
Similar open roles
Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you. A role at a platform that pays us a referral fee weighs more in this order.

Image/Video Annotator (opens the job details)
Turing · Data Annotation · Remote· 11mo agoDetails

Data Annotators: Paid Tasks for AI Model Training (opens the job details)
Terac · Data Annotation · Remote· 1w agoDetails
$40/hr

Document Annotation Specialist (PDF) (opens the job details)
SuperAnnotate (SME) · Data Annotation · Remote· 2w agoDetails
up to $3/hr
Video Data Annotation Specialist (opens the job details)
micro1 · Data Annotation · Remote· 1mo agoDetails
$8–$10/hr
A licensed or credentialed professional?
One profile for every AI training platform. Companies ask us for people with a specific language, country or credential: add yours once, and when a role fits, we introduce you, only with your yes. Free.
Get new Terac roles by email
We check the Terac job board every hour and email you its newest roles each week, plus similar paid roles elsewhere. Free, unsubscribe anytime.