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About this Inpatient Coder role at micro1

micro1 · Remote · Remote — 58 countries

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

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


Required Qualifications

  1. Active coding certification such as CIC, CCS or CPC.
  2. Inpatient ICD-10-CM coding experience, including DRG, MCC/CC, and POA concepts.
  3. Demonstrated expertise in reviewing and abstracting information from EMRs.
  4. Strong analytical skills and the ability to interpret complex clinical documentation.
  5. Availability of at least 10 hours per week.
  6. 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.

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About micro1

micro1 is a human data and talent infrastructure company focused on improving AI systems through high-quality expert input.


It connects vetted domain specialists with AI teams and enterprises to produce training data, run model evaluations, and improve reasoning performance in advanced AI systems.


The platform combines a talent marketplace with AI-driven screening and matching tools, enabling faster access to specialized contributors for tasks like LLM training, agent evaluation, and structured data creation.

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