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Medical Coding Using Ai Jobs in Columbus, GA (NOW HIRING)

Mountville

DevOps Engineer II

Lagrange, GA · On-site

$41 - $56/hr

Infrastructure as Code: Define and manage infrastructure declaratively using Terraform, and apply ... Comfort working alongside modern AI-assisted development tooling. * Experience with other cloud ...

Quora

iOS Engineer -Remote

Columbus, GA · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Own the entire software development process from timeline estimation to coding, testing and release ...

Quora

iOS Engineer -Remote

Columbus, GA · On-site

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Own the entire software development process from timeline estimation to coding, testing and release ...

Loyal Source

Audiologist

Phenix City, AL · On-site

$101K - $119K/yr

Audiologist Summary Will conduct Medical Disability Examinations (MDE) for veterans who file ... Loyal Source uses AI-powered voice screening as part of our application process. After you apply ...

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All JobsMedical Coding Using Ai JobsMedical Coding Using Ai Jobs in Columbus, GA

Medical Coding Using Ai information

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How much do medical coding using ai jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for medical coding using ai in Columbus, GA is $20.07, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.54 per hour, depending on experience, location, and employer.

What is the difference between Medical Coding Using Ai vs Medical Coding Specialist?

AspectMedical Coding Using AiMedical Coding Specialist
CredentialsNone required; relies on AI softwareCertification (e.g., CPC, CCS)
Work EnvironmentPrimarily digital, often remoteOffice or remote, depending on employer
Industry UsageUsed by healthcare providers and tech companiesEmployed by hospitals, clinics, insurance companies
Job FocusAI-driven coding automation and oversightManual coding, review, and compliance

Medical Coding Using Ai involves leveraging artificial intelligence to automate and assist coding tasks, reducing manual effort. In contrast, a Medical Coding Specialist manually reviews and assigns codes based on medical records, requiring certification and expertise. While AI enhances efficiency, specialists ensure accuracy and compliance. Both roles are vital in healthcare billing and coding workflows, often working together to optimize processes.

How does working with AI tools change the daily workflow for medical coders?

Integrating AI tools into medical coding streamlines many routine tasks, such as extracting relevant information from clinical notes and suggesting appropriate codes. This allows medical coders to focus more on complex cases, code validation, and quality assurance. Collaboration with IT specialists and healthcare providers may increase as coders provide feedback on AI system performance and help refine its accuracy. Adapting to new technologies can be a challenge at first, but it often leads to improved productivity, fewer manual errors, and opportunities for professional development in health informatics.

What is medical coding using AI?

Medical coding using AI refers to the application of artificial intelligence technologies to automate the process of translating healthcare diagnoses, procedures, and services into standardized codes. AI-powered systems use natural language processing and machine learning to analyze clinical documentation and accurately assign the appropriate medical codes. This helps healthcare providers improve efficiency, reduce errors, and ensure proper billing and reimbursement. As AI continues to evolve, it is increasingly being integrated into healthcare revenue cycle management to streamline operations and support compliance.

What are the key skills and qualifications needed to thrive as a medical coding using AI specialist?

To thrive as a Medical Coding Using AI specialist, you need a strong understanding of medical terminology, coding standards (like ICD-10 and CPT), and healthcare compliance, often supported by a certification such as CPC or CCS. Familiarity with AI-based coding platforms, electronic health records (EHR) systems, and healthcare data analytics tools is typically required. Analytical thinking, attention to detail, and adaptability are crucial soft skills for interpreting complex records and working with evolving technologies. These skills ensure accurate, efficient coding and compliance with regulations, enabling healthcare organizations to optimize billing and patient care.
What are popular job titles related to Medical Coding Using Ai jobs in Columbus, GA? For Medical Coding Using Ai jobs in Columbus, GA, the most frequently searched job titles are:
What job categories do people searching Medical Coding Using Ai jobs in Columbus, GA look for? The top searched job categories for Medical Coding Using Ai jobs in Columbus, GA are:
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Medical Coding Using Ai jobs near you

DevOps Engineer II

Mountville

Lagrange, GA • On-site

$41 - $56/hr

Full-time

Re-posted yesterday

Job description

DevOps Engineer II
Location: 99% Remote Position Type: Full-time
About Us
Mountville Inc. is a forward-thinking company committed to leveraging modern technology to drive innovation and efficiency. We are seeking a talented DevOps Engineer II to join our small, high-impact platform team. This role is central to how we build, ship, and operate the infrastructure behind our software.
Job Description
As a DevOps Engineer II, you will own and evolve the infrastructure that supports our software development lifecycle. Your focus will be on building and maintaining CI/CD (Continuous Integration / Continuous Delivery) pipelines, managing Azure cloud services, and keeping our containerized applications reliable, secure, and scalable. You'll work closely with a tight-knit team and have real ownership over the platforms you run.
Key Responsibilities
  • CI/CD Pipeline Development: Design, implement, and maintain CI/CD pipelines using GitHub Actions and Azure DevOps to automate build, test, and deployment.
  • Version Control: Manage source code repositories in Git and GitHub, championing sound branching strategies and code-review practices.
  • Cloud Infrastructure Management: Configure, deploy, and manage Azure cloud resources with an emphasis on availability, security, and scalability.
  • Kubernetes Operations: Deploy, operate, scale, and troubleshoot containerized applications on Kubernetes - including day-to-day operational support and incident recovery.
  • Infrastructure as Code: Define and manage infrastructure declaratively using Terraform, and apply GitOps practices to keep deployed state in sync with version control.
  • Monitoring and Logging: Build and maintain monitoring, logging, and alerting so we catch issues before our users do.
  • Security: Apply security best practices across the platform, including secrets management, access control, vulnerability assessment, and patching.
  • Automation: Spot manual toil in the development lifecycle and replace it with scripts and tooling that make the team faster.
  • Collaboration: Partner with development teams to understand their needs and give them the tools and support for a smooth path to production.

Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent hands-on experience).
Experience:
  • Proven experience in a DevOps role with a strong grasp of CI/CD practices.
  • Hands-on experience with Git and GitHub - repository management, branching strategies, and code reviews.
  • Strong, practical experience with GitHub Actions and Azure DevOps for pipeline creation and management.
  • Solid experience managing cloud services and infrastructure on Azure.
  • Genuine hands-on Kubernetes experience - deploying, operating, scaling, and troubleshooting real workloads (not just spinning up a cluster).
  • Experience defining infrastructure with Terraform.
  • Strong Linux administration skills, including shell scripting and system configuration.

Skills:
  • Excellent problem-solving skills and the ability to troubleshoot complex, cross-system issues.
  • Strong communication skills and a collaborative approach with cross-functional teams.
  • Ability to juggle multiple projects and prioritize effectively in a small-team environment.

Preferred Qualifications
  • Experience with GitOps workflows for Kubernetes.
  • Familiarity with monitoring and observability tooling such as Datadog and Application Insights.
  • Knowledge of microservices architecture and containerization best practices.
  • Comfort working alongside modern AI-assisted development tooling.
  • Experience with other cloud platforms (AWS, GCP) is a plus.

What We Offer
  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and inclusive work environment.
  • The chance to work with modern technology and own meaningful infrastructure.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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