Inpatient Coder

micro1; United States; Remote; USD 69,000 - 96,000; Full time

Job summary

micro1 is seeking an Inpatient Coder contractor to support AI-driven coding quality initiatives from a remote US-based location. You will apply facility coding expertise to help train AI systems using real-world clinical documentation and coding standards.

The role involves reviewing notes, validating code alignment, and writing prompts to test AI handling of billing, insurance, scheduling, and regulatory concerns. Availability of at least 10 hours per week is required.

Qualifications

• Active coding certification and inpatient ICD-10-CM experience preferred.
• Experience with DRG, MCC/CC, and POA concepts.
• Ability to review EMRs and extract coding information clearly.

Responsibilities

• Review clinical documentation for accuracy, completeness, and coding integrity.
• Evaluate AI-generated notes and summaries against real-world documentation and coding standards.
• Validate alignment between documentation and assigned codes.

Skills

ICD-10-CM

DRG

EMR

Clinical Documentation

Job description

Pay: $50 - $70/hour

Required Skills

• ICD-10-CM
• DRG
• EMR
• Clinical Documentation

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: Inpatient Coder

Role Type: Contractor

Location: United States, Remote

micro1 is engaging Inpatient 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 clinical documentation for accuracy, completeness, and coding integrity.
• Evaluate AI-generated clinical notes and summaries against real-world documentation and coding standards.
• Validate alignment between clinical documentation and assigned codes.
• Write prompts that test how an AI handles real healthcare administrative work, including billing and coding, insurance and prior authorization, scheduling, and regulatory compliance.
• Correct the code/data when the model falls short, grounded in day-to-day operational experience.

Required Qualifications

• Active coding certification such as CIC, CCS or CPC.
• Inpatient ICD-10-CM coding experience, including DRG, MCC/CC, and POA concepts.
• Demonstrated expertise in reviewing and abstracting information from EMRs.
• Strong analytical skills and the ability to interpret complex clinical documentation.
• Availability of at least 10 hours per week.
• US-based.

Compensation Structure:

Compensation is task-based, meaning experts are paid per completed task that meets the project specifications. The average handling time (AHT) is approximately 1 hour per task, and the effective hourly rate will depend on the number of tasks completed and successfully signed off times the selected rate.