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Insurance Coder Remote Jobs in Jackson, MS (NOW HIRING)

Analytics Engineer (Remote)

Madison, MS · Remote

$115K - $208K/yr

... insurance, and many more. Experian invests in people and new advanced technologies to unlock the ... Implement and maintain CI/CD pipelines and infrastructure-as-code solutions for automated ...

Insurance Coder Remote information

See Jackson, MS salary details

$13

$23

$37

How much do insurance coder remote jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for insurance coder remote in Jackson, MS is $23.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $30.14 per hour, depending on experience, location, and employer.

Will a medical coder be replaced by AI?

Medical coders, including those working remotely, perform complex tasks such as reviewing medical records and applying coding guidelines, which currently require human judgment. While AI tools can assist with coding accuracy and efficiency, they are unlikely to fully replace medical coders in the near future due to the need for critical thinking and understanding of medical documentation. Continuous learning and certification remain important for job security in this field.

What are the key skills and qualifications needed to thrive as a Remote Insurance Coder, and why are they important?

To thrive as a Remote Insurance Coder, you need a thorough understanding of medical terminology, ICD-10, CPT, and HCPCS coding systems, usually backed by a relevant certification such as CPC or CCS. Familiarity with electronic health record (EHR) systems, coding software, and claim submission platforms is essential. Attention to detail, strong organizational skills, and the ability to work independently are vital soft skills in this remote role. These skills ensure accurate coding, timely billing, and compliance with healthcare regulations, which directly impact reimbursement and minimize claim denials.

Can you work remotely as a coder?

Insurance coders can often work remotely, as the job primarily involves reviewing medical records and coding information using specialized software. Many employers offer remote positions with flexible schedules, provided the coder has the necessary certifications and computer skills.

What are some common challenges faced by remote insurance coders, and how can they be effectively managed?

Remote insurance coders often face challenges such as staying updated with frequent coding guideline changes, maintaining productivity without in-person supervision, and ensuring secure handling of sensitive patient data from home. To manage these, it's important to regularly participate in virtual training sessions, use secure VPN connections for accessing healthcare systems, and set a structured daily routine. Open communication with team members and supervisors via collaboration tools also helps address questions quickly and maintain coding accuracy.

Do insurance companies hire coders?

Yes, insurance companies often hire medical insurance coders to review and assign codes to medical procedures and diagnoses for billing and claims processing. These roles typically require knowledge of coding systems like ICD-10 and CPT, and some positions may be remote or require certification. Insurance companies rely on coders to ensure accurate reimbursement and compliance with regulations.

What is the difference between Insurance Coder Remote vs Medical Biller Remote?

AspectInsurance Coder RemoteMedical Biller Remote
CertificationsCertified Professional Coder (CPC), Certified Coding Associate (CCA)Certified Professional Biller (CPB), Certified Coding Associate (CCA)
Work EnvironmentRemote, healthcare offices, hospitalsRemote, healthcare offices, billing companies
Industry UsageHealthcare providers, insurance companiesHealthcare providers, billing services
Primary FocusAssigning codes to diagnoses and proceduresSubmitting claims and managing billing processes

While both Insurance Coder Remote and Medical Biller Remote roles work in healthcare and often share certifications, their primary responsibilities differ. Insurance coders focus on assigning accurate medical codes, whereas medical billers handle billing submissions and claims management. Both roles are essential in healthcare revenue cycle management and are commonly performed remotely.

What pays more, CCS or CPC?

In the context of insurance coding, CPC (Certified Professional Coder) typically offers higher pay than CCS (Certified Coding Specialist) because it covers a broader range of coding for outpatient and physician services. CPCs are often in higher demand due to their versatility and are frequently employed in outpatient settings, which can lead to higher salaries for remote insurance coders. However, actual pay depends on experience, certification, and employer requirements.

What are Insurance Coders and what do they do in a remote role?

Insurance Coders, also known as medical coders, are professionals who review medical records and assign standardized codes to diagnoses and procedures for billing and insurance purposes. In a remote position, Insurance Coders work from home using secure online systems to access healthcare documentation and ensure accurate coding according to industry standards like ICD-10, CPT, and HCPCS. Their work helps healthcare providers receive proper reimbursement from insurance companies while ensuring compliance with regulations. Attention to detail and knowledge of medical terminology are essential in this role.
What are popular job titles related to Insurance Coder Remote jobs in Jackson, MS? For Insurance Coder Remote jobs in Jackson, MS, the most frequently searched job titles are:
Analytics Engineer (Remote)

Analytics Engineer (Remote)

Experian

Madison, MS • Remote

$115K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

The Fraud Analytics & Commercialization team drives Experian\'s fraud analytics business through four integrated functions: pre-sales engagement, scalable and custom solutions, consulting, and operational enablement, with the goal of becoming the industry\'s provider-of-choice.

We\'re looking for an Analytics Engineer, Fraud Analytics Infrastructure, to join our Fraud Analytics team. As the ideal candidate, you thrive at the intersection of data engineering, infrastructure, and machine learning, and care about the reliability, scalability, and usability of the platforms your colleagues depend on. You\'ll work closely with data scientists, engineers, and product partners to build, maintain, and continuously improve the analytics ecosystem that enables fraud attribute development, model building, and model deployment, including identifying opportunities to increase efficiency and stability across the full modeling lifecycle. Core skills include navigating ambiguity, an impact-focused mindset, critical thinking, and an eagerness to collaborate across teams. You are curious about the latest tools and AI solutions, will evaluate their potential, and help bring the best of them into the team\'s workflows. Candidates who have taken an unconventional path and demonstrated the curiosity to figure things out without a blueprint will find this role and team to be a good fit.

You will report to the Data Modeling Director.

You\'ll have the opportunity to:

  • Build scalable Python-based data pipelines and backend services for analytics workflows.
  • Design software systems using object-oriented programming and sound engineering practices.
  • Create and support platforms that allow analytics development, model training, and model deployment.
  • Implement and maintain CI/CD pipelines and infrastructure-as-code solutions for automated deployments.
  • Manage cloud and on-premises analytics environments, including AWS infrastructure and security controls.
  • Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability.
  • Support machine learning and fraud modeling workflows, including feature engineering and model deployment.
  • Implement new technologies, including AI-based solutions, to improve platform efficiency and stability.
Qualifications
  • 3+ years of experience in data science, analytics, data engineering, or a related field.
  • Bachelor\'s or advanced degree in Statistics, Applied Mathematics, Econometrics, or another quantitative field; equivalent experience considered.
  • Experience developing applications and data pipelines using Python, including PySpark, Polars, NumPy, and Pandas.
  • Familiarity with Java and object-oriented programming concepts.
  • Experience building, deploying, and supporting production systems and data platforms.
  • Experience with AWS services such as EC2, EMR, and Airflow, including cloud security best practices.
  • Experience with machine learning workflows and analytics model development environments.
  • Experience with CI/CD processes, Infrastructure as Code, containerization tools, and UNIX/Linux environments.
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, vision, and matching 401K.
  • Flexible work environment, ability to work remote, hybrid or in-office.
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.
  • Explore all our exciting benefits here: https://myexperianbenefits.com/.

Our uniqueness is that we celebrate yours. Experian\'s people first, inclusive and purpose driven culture is multi award-winning; World\'s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Remote

This is a remote position.

  • Employee Status: Regular
  • Role Type: Hub
  • Job Posting - Salary Range: $115,747 - $208,344
  • Department: Analytics
  • Schedule: Full Time
  • Compensation: USD 115747 - USD 208344 - yearly