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micro1 is seeking Certified Inpatient Coders (Contractor) to contribute to AI-driven medical data accuracy projects in the United States. You will apply your inpatient coding expertise to improve model learning and data quality in real-world records.
The role requires active CIC or CCS or AHIMA/AAPC certification, inpatient ICD-10-CM/PCS experience, and a commitment of at least 10 hours per week, with remote work support.
Required Skills
Inpatient Coding
Inpatient Records
ICD-10
CIC
CPC
AAPC
CPT
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.
Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.
Role Title: Certified Inpatient Coder
Role Type: Contractor
Location: United States, Remote
micro1 is engaging Certified Inpatient Coders to contribute to a customer's project focused on enhancing medical data accuracy and integrity. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Review and analyze inpatient medical records to ensure accurate ICD-10-CM and ICD-10-PCS coding in alignment with current guidelines and best practices.
Review clinical documentation for accuracy, completeness, and coding integrity.
Identify principal and secondary diagnoses, sequence codes per the Official Guidelines, and assign Present on Admission (POA) indicators.
Validate MS-DRG assignment, including identification of CCs and MCCs, and flag hospital-acquired conditions (HACs) and patient safety indicators.
Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
Code AI-generated diagnostic and procedural information from the record using ICD-10-CM and ICD-10-PCS classification systems.
Identify and resolve discrepancies in diagnosis and procedure coding, ensuring the integrity of record abstraction and data capture.
Provide clear written feedback on coding errors and complex cases to improve model performance.
Active certification in one of the following: CIC or CCS, or other coding certification through AHIMA and AAPC (e.g., RHIA, RHIT, COC).
Inpatient ICD-10-CM/PCS coding experience.
Access to up-to-date official ICD-10-CM/PCS coding books and Coding Clinic guidance.
Currently working in inpatient medical coding, clinical documentation improvement, or a closely related documentation role.
Availability of at least 10 hours per week.