Remote flexible quality review and annotation of clinical text and EHR data for datasets used in research. Suits healthcare or medical coding professionals with a sharp eye for documentation errors.
Sobre la vacante
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
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