Clinical reviewers check and label EHR records and diagnoses for accuracy in datasets used for clinical and research work. Suits healthcare or medical coding professionals based in the Chicago market who notice small documentation errors.
About the role
Clinical Data QA Reviewer
About the Role
We're looking for detail-oriented clinical professionals to review and annotate electronic health record (EHR) data for quality assurance purposes. Your expertise directly shapes the accuracy of datasets used in real-world clinical and research applications — work that matters.
This is a fully remote, flexible contract role localized to the Chicago market. If you have a background in healthcare, medical coding, or clinical documentation and a sharp eye for detail, we want to hear from you.
What You'll Do
- Review clinical text and structured EHR data for accuracy and consistency
- Label and annotate diagnoses, procedures, and chart details using defined guidelines
- Identify errors, inconsistencies, or ambiguities in clinical documentation
- Apply careful judgment to complex, real-world medical datasets
- Maintain high annotation quality and consistency across large volumes of records
- Provide structured feedback and flag data quality issues as they arise
- Provide structured feedback and flag data quality issues as they arise
- Background in healthcare, clinical documentation, medical coding, or a related field
- Familiarity with EHR systems, ICD codes, CPT codes, or clinical terminology
- Strong attention to detail — you catch what others miss
- Comfortable working independently and managing your own workflow
- Reliable, consistent, and committed to quality
- Experience in chart review, medical records, or clinical QA is a plus
- Experience in chart review, medical records, or clinical QA is a plus
- Credentials such as CPC, CCS, RHIT, RHIA, or similar
- Prior experience with data annotation or labeling platforms
- Background in clinical research or health informatics
- Background in clinical research or health informatics
- Fully remote — work from anywhere on a flexible schedule
- Meaningful work that contributes to clinical research and healthcare quality
- Freelance autonomy with the structure of a clear, well-defined role
- Opportunity for ongoing contract work and extended engagement
- Work alongside professionals who take data quality seriously
Official source: alignerr.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
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