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

Navtech

Google Contact Center AI

Alpharetta, GA · On-site

$15.75 - $21.50/hr

Experience in delivering complex AI (or) DA projects ... Experience coding using one or more languages such as Python, Scala, Java, Go, combined with ...

Varsity Tutors

Medical Terminology Tutor

Atlanta, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Varsity Tutors

Medical Terminology Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Varsity Tutors

Medical Terminology Tutor

Marietta, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Varsity Tutors

Medical Terminology Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Varsity Tutors

Medical Terminology Tutor

Roswell, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Datavant

Profee Coding Consultant - PRN

Atlanta, GA · On-site

$20 - $28/hr

From fulfilling a single patient's request for their medical records to powering the AI revolution ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

Varsity Tutors

Medical Terminology Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Varsity Tutors

Medical Terminology Tutor

Woodstock, GA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using flashcard systems, body system organization, and medical document reading ...

Salesforce, Inc.

AI GTM Developer

Atlanta, GA · On-site

$53.25 - $70.75/hr

Hands-on experience using AI coding assistants as part of your development workflow. * Experience ... Salesforce offers a variety of benefits to help you live well including: time off programs, medical ...

Datavant

Profee Coding Consultant - Full Time

Atlanta, GA · On-site

$20 - $28/hr

From fulfilling a single patient's request for their medical records to powering the AI revolution ... The Provider Practice Coding Consultant role is an opportunity to make a significant impact in the ...

MD1

Be Seen First

Ambulance Coder and Biller - Remote

Atlanta, GA · Remote

$37K - $40K/yr

... coding of medical claims for ambulance services. The primary goal of this position is to maintain ... using technology to provide our clients with real time data to improve their services to ...

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Showing results 21-40

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

Medical Coding Using Ai information

See Marietta, GA salary details

$15

$21

$32

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 Marietta, GA is $21.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.79 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.
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Medical Coding Using Ai jobs near you

AI Native Development lead/ Architect

Tror AI for everyone

Atlanta, GA • On-site

Contractor

Re-posted 6 days ago

Job description

Job Role: AI Native Development lead/ Architect

Job Location: Atlanta, GA (Hybrid)

Job Type: Contract

Role Summary
We are looking for an AI Native Development Architect to design and guide the build of cloud-native, data- and AI-driven applications on AWS. You will define target architectures, enable engineering teams with reusable patterns and reference implementations, and accelerate delivery using modern AI-assisted development tools.

Key Responsibilities

  • Define end-to-end architecture for AI-native products, including application, data, integration, security, and operations on AWS.
  • Lead design reviews and provide technical direction across Python and C#/.NET codebases.
  • Architect data pipelines and analytical workloads using PySpark and AWS Glue; establish standards for data quality, lineage, and observability.
  • Design and implement scalable APIs and microservices using FastAPI (and/or .NET Web APIs) with clear contracts, versioning, and performance SLAs.
  • Establish reference architectures for LLM/RAG-enabled capabilities (e.g., retrieval patterns, prompt management, evaluation, guardrails) aligned with organizational policies.
  • Partner with Security, Platform, and DevOps teams to implement secure-by-design practices (IAM, secrets, network controls, encryption, threat modeling).
  • Define CI/CD, branching, testing, and release practices; improve developer productivity with automation and paved-road templates.
  • Champion AI-assisted engineering workflows using tools such as GitHub Copilot, Cursor, and Claude AI while ensuring code quality and compliance.
  • Mentor engineers, create technical documentation, and drive adoption of best practices across teams.

Required Skills:

  • Python: strong hands-on experience building services and data workloads using Python, PySpark, AWS Glue, and FastAPI.
  • C#/.NET: ability to design and review .NET services and libraries; familiarity with modern .NET runtime and patterns.
  • AWS: strong understanding of AWS architecture fundamentals (networking, IAM, compute, storage, managed services) and designing for scale, reliability, and cost.

AI Native Development Tools

  • Proficiency using AI coding assistants to accelerate development while maintaining engineering rigor: GitHub Copilot, Cursor, Claude AI.
  • Ability to establish team guidelines for AI-assisted coding (review standards, secure prompting, IP/compliance awareness, and validation/testing).

Preferred Qualifications

  • Experience designing GenAI solutions (RAG, tool/function calling, agents) and implementing evaluation/monitoring approaches.
  • Experience with infrastructure as code (e.g., CloudFormation/CDK/Terraform) and container platforms (Docker/ECS/EKS).
  • Knowledge of MLOps patterns (model lifecycle, feature stores, experiment tracking) and data governance concepts.
  • Strong understanding of observability practices (logs/metrics/traces) and SRE-oriented reliability design.

Soft Skills & Competencies

  • Architecture leadership: can balance short-term delivery with long-term platform thinking.
  • Clear communication: can translate complex technical decisions for engineering and business stakeholders.
  • Hands-on mindset: comfortable prototyping and jumping into code to unblock teams.
  • Quality and security focus: promotes testing discipline, secure coding, and operational readiness.
  • Collaboration and mentorship: builds alignment, coaches engineers, and scales best practices across squads.