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Overnight Remote Hcc Coder Jobs in Raleigh, NC (NOW HIRING)

Overnight Remote Hcc Coder information

See Raleigh, NC salary details

$15

$21

$33

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

As of Aug 12, 2026, the average hourly pay for overnight remote hcc coder in Raleigh, NC is $21.80, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $23.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an overnight remote HCC coder?

To thrive as an Overnight Remote HCC Coder, you need strong knowledge of ICD-10-CM coding, risk adjustment principles, and experience with medical record review, typically supported by a coding certification such as CPC, CCS, or CRC. Familiarity with electronic health record (EHR) systems, coding software, and secure remote workflow tools is essential. Attention to detail, self-motivation, and effective written communication are crucial soft skills for accuracy and collaboration in a remote setting. These competencies ensure compliance, data integrity, and optimized risk adjustment outcomes for healthcare organizations.

What is an overnight remote HCC coder?

An Overnight Remote HCC Coder is a medical coding professional who works remotely, typically during nighttime hours, to review patient medical records and assign the correct Hierarchical Condition Category (HCC) codes. These codes are crucial for risk adjustment and accurate billing in healthcare organizations, especially for Medicare Advantage plans. By working overnight and remotely, these coders help ensure timely processing of medical records and support continuous healthcare operations. They must have strong knowledge of medical terminology, coding systems like ICD-10, and compliance regulations.

What are some unique challenges faced by overnight remote HCC coders, and how can I prepare for them?

Overnight Remote HCC Coders often work independently during non-traditional hours, which can present challenges such as staying motivated and maintaining focus without immediate team support. Additionally, coders must be adept at managing time efficiently to meet productivity and accuracy targets while handling potentially complex cases. To prepare, it's helpful to establish a structured routine, ensure a comfortable and distraction-free workspace, and leverage communication tools to stay connected with your team for support and updates. Regularly reviewing HCC coding guidelines and participating in ongoing training will also help you stay current and confident in your role.

What is the difference between Overnight Remote Hcc Coder vs Remote Medical Coder?

AspectOvernight Remote Hcc CoderRemote Medical Coder
CertificationsAHIMA or AAPC credentials, HCC-specific trainingCCS, CPC, or similar coding certifications
Work EnvironmentRemote, overnight shifts, healthcare facilities or insurance companiesRemote, flexible hours, healthcare providers or billing companies
Industry UsageInsurance, risk adjustment, Medicare Advantage plansHospitals, clinics, billing services

Overnight Remote Hcc Coders focus on risk adjustment coding for insurance and Medicare Advantage plans, often working overnight shifts. Remote Medical Coders have broader healthcare coding roles across various settings. While both require coding certifications and remote work skills, HCC coders specialize in risk adjustment, making their roles more specific within the insurance industry.

What are the most commonly searched types of Remote Hcc Coder jobs in Raleigh, NC? The most popular types of Remote Hcc Coder jobs in Raleigh, NC are:
What are popular job titles related to Overnight Remote Hcc Coder jobs in Raleigh, NC? For Overnight Remote Hcc Coder jobs in Raleigh, NC, the most frequently searched job titles are:
Infographic showing various Overnight Remote Hcc Coder job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $45,336 per year, or $21.8 per hour.

Senior MLOps Engineer- Remote[Candidates must work PST hours]

OMG Technologies

Raleigh, NC • Remote

$70/hr

Contractor

Posted 21 days ago


Job description

This opportunity is for aSenior MLOps Engineerrole with one of our clients. Please find the job description below.


Position Overview :

Role: Sr MLOps Engineer
Location:Remote[Candidates must work PST hours]
Duration:12+Months
ContractRole
Rate: $60/hr on W2 | $70/hr on C2C


Job Summary

The Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with crossfunctional partners-including biostatisticians, bioinformatics scientists, AI scientists, and software engineers-to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications.The role designs, builds, and maintains robust ML platforms and pipelines that ensure reliability, security, and compliance across the full model lifecycle-from data ingestion, model training, versioning and evaluation, through deployment, monitoring, and continuous improvement. This role serves as a key resource, applying indepth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable,and aligned with the company's mission to help eradicate cancer.

Essential Duties

Include, but are not limited to, the following:

  • Designs, implements, and maintains endtoend MLOps pipelines for training, validation, deployment, and monitoring of ML and AI models used in cancer screening and precision oncology solutions.
  • Builds and operates scalable, secure ML infrastructure on cloud and container platforms (e.g., AWS/Azure/GCP, Docker, Kubernetes) to support batch and realtime inference workloads.
  • Implements CI/CD workflows for ML (data, model, and code), including automated testing, packaging, and promotion of models across development, staging, and production environments.
  • Establishes and manages model and data versioning, experiment tracking, and lineage to ensure reproducibility, auditability, and effective model governance.
  • Develops and maintains monitoring, logging, and alerting for model performance, data quality, drift, and system health, defining and meeting SLOs/SLAs for critical ML services.
  • Collaborates with data scientists, bioinformatics and biostatistics partners, and software/platform engineering teams to translate experimental workflows into productiongrade services integrated into customerfacing and internal applications.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications

  • Bachelor's Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.
  • 5 years of relevant job-related experience.
  • Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikitlearn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major cloud platform (e.g., AWS, Azure, GCP) supporting ML workloads.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications

  • 2+ years of life sciences industry experience working with biological data.
  • 2+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
  • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
  • Scientific understanding of cancer biology
  • Strong programming ability in Python and experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
  • Hands-on experience deploying and operating machine learning models in production, including experience with CI/CD pipelines, model packaging, and automated deployment.

Other Job Details

  • Number of Openings:2-3
  • Work Schedule:Must be available to work PST hours
  • Industry Experience:Not required; strong technical expertise is the primary focus
  • Interviews:Video interviews.
  • Docs required:ID proof will be required