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Part Time Remote Inpatient Coding Jobs in California

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Part Time Remote Inpatient Coding information

What is a part time remote inpatient coder?

A Part Time Remote Inpatient Coder is a healthcare professional who reviews and assigns standardized codes to inpatient medical records for hospitals or healthcare facilities, working fewer than full-time hours and performing their duties from a remote location. Their primary responsibility is to ensure accurate coding for diagnoses and procedures, which is essential for billing, insurance claims, and maintaining patient records. This role typically requires knowledge of ICD-10-CM/PCS coding systems and familiarity with compliance regulations and hospital documentation standards.

What are the key skills and qualifications needed to thrive as a part time remote inpatient coder?

To thrive as a Part Time Remote Inpatient Coder, you need a strong understanding of medical terminology, ICD-10-CM/PCS coding systems, and a relevant credential such as RHIA, RHIT, or CCS. Experience with electronic health record (EHR) systems and coding software is typically required, along with familiarity with HIPAA compliance. Excellent attention to detail, time management, and self-motivation are standout soft skills in this remote role. These skills ensure accurate coding, compliance, and timely reimbursement while maintaining productivity and data integrity from a remote environment.

What are some common challenges faced by part time remote inpatient coders, and how can they be managed?

Part-time remote inpatient coders often face challenges such as staying up-to-date with frequent changes in coding regulations, managing time effectively to meet productivity standards, and maintaining communication with their healthcare teams. To overcome these challenges, it's important to set a consistent work schedule, participate in ongoing training or webinars, and use collaboration tools to stay connected with supervisors and colleagues. Many employers provide resources and support to help remote coders succeed, including access to reference materials and regular team meetings.

What is the difference between Part Time Remote Inpatient Coding vs Part Time Remote Outpatient Coding?

AspectPart Time Remote Inpatient CodingPart Time Remote Outpatient Coding
CertificationsAHIMA CCS or AAPC CPC-HAHIMA CCS or AAPC CPC-H
Work EnvironmentRemote, hospital or health system settingRemote, outpatient clinics or physician offices
Industry UsageHospitals, inpatient facilitiesOutpatient clinics, physician practices
Common Search/ComparisonPart Time Remote Inpatient Coding vs Part Time Remote Outpatient Coding

Part Time Remote Inpatient Coding involves assigning codes to hospital inpatient records, requiring knowledge of inpatient coding guidelines. In contrast, Part Time Remote Outpatient Coding focuses on outpatient records, often with different coding rules. Both roles typically require similar certifications and are performed remotely, but they serve different healthcare settings and coding processes.

Do part time remote inpatient coders work from home?

Part time remote inpatient coders typically work from home, using coding software and electronic health records to review and assign medical codes. They often have flexible schedules and need relevant certifications such as CPC or CCS to perform their duties effectively.

What are the most commonly searched types of Remote Inpatient Coding jobs in California?

The most popular types of Remote Inpatient Coding jobs in California are:

Infographic showing various Part Time Remote Inpatient Coding job openings in California as of August 2026, with employment types broken down into 2% Locum Tenens, 4% As Needed, 72% Full Time, 18% Part Time, and 4% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

AI Software Engineer Expert - Remote

YO AI Labs

San Jose, CA โ€ข Remote

$100 - $200/hr

Part-time

Posted 11 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.