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.

Responsibilities

• 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

Requirements

• 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

Skills

• Credentials such as CPC, CCS, RHIT, RHIA, or similar (nice to have)
• Prior experience with data annotation or labeling platforms (nice to have)
• Background in clinical research or health informatics (nice to have)

Benefits

• 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