OpenTrain AI, Inc.

OpenTrain AI, Inc. is seeking a remote contract coder to create realistic medical coding scenarios from chart documentation and review AI decisions for accuracy. You will cite CPT, ICD-10-CM, and HCPCS guidelines, explain each code choice, and document audit-readiness considerations so fellow coders can follow your reasoning. Must have CPC/CCS credentials, at least two years of production coding experience, and strong written English for clear explanations. #J-18808-Ljbffr

Review clinical records, assign medical codes, and help train AI systems to understand diagnoses and procedures. This US remote contractor role pays $50 to $70 per hour. Remote Hourly · $50–$70/hr $50–$70/hr Compensation Contract, part-time Engagement Remote Location Posted Open to applicants in United States The work You will review clinical documentation and apply established medical coding standards to support AI training. The work focuses on helping AI systems interpret diagnoses, procedures, documentation gaps, and coding decisions. You will also give clear feedback on complex cases, identify opportunities to clarify documentation, and communicate with project stakeholders when coding requirements or records are unclear. Review encounter notes, progress notes, operative reports, consults, laboratory and imaging results, and discharge summaries. Assign ICD-10-CM, ICD-10-PCS, CPT, and HCPCS codes from documented clinical information. Identify and sequence principal...

OpenTrain AI, Inc. is seeking a remote medical coder contractor in the United States. You will review clinical documentation and apply ICD-10-CM, ICD-10-PCS, CPT, and HCPCS codes to support AI training and ensure coding accuracy. The role emphasizes identifying documentation gaps, providing clear feedback on complex cases, and communicating with project stakeholders when coding requirements are unclear. Active coding credentials and hands-on experience are required. #J-18808-Ljbffr

OpenTrain AI, Inc. seeks skilled inpatient coding professionals to review clinical records, evaluate AI-generated healthcare content, and correct coding outputs on a remote, part-time contractor basis. The role requires active CIC, CCS, or CPC certification, inpatient ICD-10-CM coding experience, and knowledge of DRG, MCC/CC, and POA concepts. Expect 10–20 hours weekly and pay of $50–$70 per hour per task that meets specifications. #J-18808-Ljbffr

OpenTrain AI, Inc. is seeking a remote medical coder contractor in the United States. You will review clinical documentation and apply ICD-10-CM, ICD-10-PCS, CPT, and HCPCS codes to support AI training and ensure coding accuracy. The role emphasizes identifying documentation gaps, providing clear feedback on complex cases, and communicating with project stakeholders when coding requirements are unclear. Active coding credentials and hands-on experience are required. #J-18808-Ljbffr

OpenTrain AI, Inc. seeks skilled inpatient coding professionals to review clinical records, evaluate AI-generated healthcare content, and correct coding outputs on a remote, part-time contractor basis. The role requires active CIC, CCS, or CPC certification, inpatient ICD-10-CM coding experience, and knowledge of DRG, MCC/CC, and POA concepts. Expect 10–20 hours weekly and pay of $50–$70 per hour per task that meets specifications. #J-18808-Ljbffr

Use inpatient coding expertise to review clinical records, evaluate AI-generated healthcare content, and correct coding outputs. Pay is $50 to $70 per hour equivalent, paid per task that meets project specifications. $50–$70/hr equivalent, paid per accepted task Compensation Contract, part-time Engagement Remote Location Oct 30, 2026 Posted Open to applicants in United States The work You will help evaluate and improve AI systems used for healthcare administrative work. The role combines inpatient coding judgment with review and correction of AI-generated clinical content. You will work with clinical documentation, AI-generated notes and summaries, assigned codes, and prompts covering billing, insurance, prior authorization, scheduling, and regulatory compliance. Review inpatient clinical documentation for accuracy, completeness, and coding integrity. Compare AI-generated notes and summaries with clinical documentation and coding standards. Check that assigned codes...