Job Description

Clinical Data QA Reviewer

$30-50/hr Remote Freelance STEM

About the Role

We're looking for detail-oriented clinical professionals to review and annotate electronic health record (EHR) data for quality assurance. Your expertise directly supports the integrity of clinical datasets used in research, analytics, and healthcare applications.

This is a remote, flexible contract role based out of the Chicago area — ideal for clinicians, medical coders, health informatics specialists, or anyone with hands-on experience navigating complex EHR systems.

• Type: Hourly Contract
• Location: Remote (Chicago-localized)
• Commitment: Flexible hours

What You'll Do

• Review clinical text and structured EHR data for accuracy and consistency
• Label and annotate diagnoses, procedures, medications, and other chart details according to established guidelines
• Identify errors, inconsistencies, or ambiguities in clinical documentation
• Apply careful judgment to complex, real-world patient records
• Maintain a high standard of annotation quality across large datasets
• Provide structured feedback and flag data quality issues

Who You Are

• Background in healthcare, clinical documentation, medical coding, or health informatics
• Familiarity with EHR systems and clinical terminology (ICD codes, CPT codes, SNOMED, etc.)
• Strong attention to detail and ability to apply guidelines consistently
• Comfortable working independently and managing your own workflow
• Reliable, self-motivated, and thorough in your approach

Nice to Have

• Experience with medical coding (CPC, CCS, or similar certification)
• Background in nursing, clinical research, or health information management
• Prior work in data annotation, QA, or clinical informatics

Why Join Us

• Fully remote and flexible — work on your own schedule
• Meaningful work that contributes to real clinical and research outcomes
• Opportunity to apply your healthcare knowledge in a data-driven context
• Freelance autonomy with potential for ongoing contract work
• Collaborative team with a clear mission around data quality

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