Data annotation job
Inpatient Medical Coder
Micro1 · Posted 1 week ago
- AI evaluation
- Healthcare
About this role
micro1 is engaging Inpatient Medical Coders to contribute to a valued project focused on enhancing inpatient clinical coding accuracy and data quality. In this role, you’ll apply your facility coding expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Scope of Work
- Review inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding in line with current guidelines.
- Determine the principal and secondary diagnoses for the full admission and assess how MCCs, CCs, and procedures affect DRG assignment.
- Review clinical documentation for accuracy and completeness, and flag opportunities for provider queries.
- Evaluate AI-generated clinical notes, summaries, and code suggestions against real-world documentation and inpatient coding standards.
- Identify and resolve diagnosis and procedure coding discrepancies to protect data integrity.
- Enter and validate AI-generated patient information in inpatient medical record and encoder systems.
Preferred Qualifications
- Active coding certification such as CIC, CCS, RHIA, or RHIT, or another AHIMA or AAPC coding credential.
- Inpatient ICD-10-CM and ICD-10-PCS coding experience, including DRG, MCC/CC, and POA concepts.
- Access to current official ICD-10 code sets and guidelines, and familiarity with AHA Coding Clinic.
- Currently working in inpatient coding, clinical documentation improvement, or a closely related role.
- Availability of at least 10 hours per week.
This listing is aggregated by DataAnnotationJobs.org. Applications are processed by Micro1, not by this site.
Micro1 is a fast-scaling AI training data platform that pivoted from its AI recruiting agent, Zara, into expert data labeling and RLHF, vetting doctors, lawyers, and engineers for frontier AI labs. See all Micro1 jobs.
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