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Remote Hcc Medical Coder Jobs in Lexington, SC (NOW HIRING)

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Remote Hcc Medical Coder information

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How much do remote hcc medical coder jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote hcc medical coder in Lexington, SC is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.58 per hour, depending on experience, location, and employer.

What is a remote HCC medical coder?

A Remote HCC Medical Coder reviews medical records to identify and assign accurate diagnosis codes based on Hierarchical Condition Category (HCC) risk adjustment models. This role ensures proper documentation and coding to support accurate reimbursement and compliance with Medicare and insurance requirements. Working remotely, coders use electronic health records (EHR) and coding software to analyze patient data. Certification such as CPC, CRC, or CCS is often required, along with a strong understanding of ICD-10-CM coding guidelines.

What are the key skills and qualifications needed to thrive as a remote HCC medical coder?

To thrive as a Remote HCC Medical Coder, you need expert knowledge of ICD-10-CM coding, risk adjustment models, and medical terminology, typically supported by certification such as CPC, CRC, or CCS. Familiarity with coding software, electronic health record (EHR) systems, and secure remote work tools is essential. Strong attention to detail, self-motivation, and time management are important soft skills for excelling in a virtual, independent setting. These skills and qualities ensure accurate coding, compliance with regulations, and effective collaboration with healthcare teams while working remotely.

What are some common challenges faced by remote HCC medical coders?

Remote HCC Medical Coders often encounter challenges such as interpreting complex medical records without immediate access to providers for clarification and managing productivity targets while working independently. Staying updated on rapidly changing coding guidelines and payer requirements can require ongoing education and adaptability. Successful coders use strong communication skills to resolve queries with team members and clinicians, and rely on proactive organization to meet deadlines. Maintaining data security and patient confidentiality is also especially important in a remote environment.

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What job categories do people searching Remote Hcc Medical Coder jobs in Lexington, SC look for?

The top searched job categories for Remote Hcc Medical Coder jobs in Lexington, SC are:

What cities near Lexington, SC are hiring for Remote Hcc Medical Coder jobs?

Cities near Lexington, SC with the most Remote Hcc Medical Coder job openings:

AI Solutions Architect - Remote / Telecommute

CYNET SYSTEMS

Columbia, SC • Remote

$76 - $81/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Job description

Job Overview:

Pay Range: $76.25hr - $81.25hr

Requirement/Must Have:

  • 1+ years of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria.
  • 2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms.
  • 2+ years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.
  • 1+ years of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.
  • 1+ years of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.
  • 1+ years of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.
  • 1+ years of hands-on experience integrating AI capabilities with Azure and AWS.

Responsibilities:

  • Support the development and implementation of AI strategies that align with organization’s goals and objectives.
  • Contribute to the AI review and approval process for use cases and vendors, ensuring they meet established compliance and operational requirements across the state.
  • Support and promote the adoption of standardized AI processes.
  • Support the organization’s AI Center of Excellence by contributing technical expertise to the design of secure architectures, development of reusable technical patterns, use case development, prototyping, feasibility assessments and responsible implementation of AI solutions.
  • Develop and maintain a high level of expertise in AI, positioning Office of Information Technology Services as a leader.

Nice to Have:

  • Background in a variety of programming languages and principles.
  • Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.
  • Experience with data tools and techniques for storing, retrieving, and cleaning data.

Skills:

  • Strong communication and knowledge-transfer skills.
  • Advanced report writing ability.
  • Excellent communication skills and relevant public speaking.
  • Experience working on complex projects.

Education and Experience:

  • Undergraduate degree in computer science, data science, artificial intelligence or related field required; advanced degree preferred.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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