Clinical Data QA Reviewer
About this role
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 Who You Are - 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 Nice to Have - Credentials such as CPC, CCS, RHIT, RHIA, or similar - Prior experience with data annotation or labeling platforms - Background in clinical research or health informatics Why Join Us - 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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