Inpatient Medical Coding & AI Data Quality Specialist (CCS/CIC)
Review and annotate inpatient medical records, assign and validate ICD-10-CM/PCS codes, determine diagnoses and MS-DRGs, and provide expert coding feedback to support AI data quality.
This role is for one of our clients
Pay: 50β70/hour
Role Type: Contractor
Location: US β Remote
We are seeking experienced Medical Coders with CCS or CIC certification to contribute their expertise to a project focused on improving the accuracy, reliability, and clinical understanding of advanced artificial intelligence systems.
In this role, you will apply your inpatient medical coding knowledge to annotate, review, and validate clinical documentation using established coding standards and guidelines. You will work with complex inpatient medical records, assign accurate ICD-10-CM and ICD-10-PCS codes, determine appropriate diagnosis sequencing, and validate MS-DRG classifications.
Your expertise will help improve how AI systems interpret clinical documentation, recognize medical conditions, apply coding conventions, and make accurate coding-related decisions. Previous experience in AI or machine learning is not required; strong medical coding expertise and attention to detail are the primary requirements.
Requirements
Key Responsibilities
Required Qualifications
Must-Have Skills
Good-to-Have Skills
Preferred Experience
Candidates with experience coding inpatient records across acute care hospitals, teaching hospitals, surgical units, trauma services, oncology, cardiology, or transplant services will be particularly well suited for this role.
Experience handling complex clinical cases, reviewing detailed operative documentation, resolving coding ambiguities, and validating DRG assignments will be an advantage.
Candidates should also have access to current ICD-10-CM and ICD-10-PCS code sets, official coding guidelines, and appropriate MS-DRG grouper tools to support accurate and consistent coding decisions.
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