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Medical Coding Using Ai Jobs in Louisville, KY (NOW HIRING)

Deloitte

AI Security Engineer Manager

Louisville, KY · On-site

Contribute to secure coding practices, reusable patterns, and continuous improvement across ... Using situational awareness, threat intelligence, and building a security culture across the ...

Humana

Lead AI Engineer

Louisville, KY · On-site

$98K - $129K/yr

... deliver critical code yourself. We build the platform that transforms millions of clinical ... Our systems use large language models (LLMs) to read medical records, extract structured facts ...

Humana

Lead AI Engineer

Louisville, KY · On-site

$98K - $129K/yr

... deliver critical code yourself. We build the platform that transforms millions of clinical ... Our systems use large language models (LLMs) to read medical records, extract structured facts ...

Humana

Lead AI Engineer

Louisville, KY · On-site

$98K - $129K/yr

... deliver critical code yourself. We build the platform that transforms millions of clinical ... Our systems use large language models (LLMs) to read medical records, extract structured facts ...

Pwc

CTIO AI Engineering Manager

Louisville, KY

$73K - $244K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

Pwc

AI Engineer

Louisville, KY · On-site

$50K - $112K/yr

... using Python and TensorFlow - Integrating data from various sources to create unified views for ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

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Medical Coding Using Ai information

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

As of Sep 4, 2026, the average hourly pay for medical coding using ai in Louisville, KY is $21.54, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.08 per hour, depending on experience, location, and employer.

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.

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 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 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.

What are popular job titles related to Medical Coding Using Ai jobs in Louisville, KY?

For Medical Coding Using Ai jobs in Louisville, KY, the most frequently searched job titles are:

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The top searched job categories for Medical Coding Using Ai jobs in Louisville, KY are:

What cities near Louisville, KY are hiring for Medical Coding Using Ai jobs?

Cities near Louisville, KY with the most Medical Coding Using Ai job openings:

Medical Coding Using Ai jobs near you

Full-Stack Engineer at early-stage consumer social app

Cheez

Louisville, KY • On-site

Full-time

Re-posted 14 days ago

Job description

Cheez (https://cheez.cc/wayupeng) is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

Responsibilities:

  • Collaborate with product and design teams (ex-Google/FB/Apple/Microsoft) to develop, test, and launch new features and improvements for our consumer social app.

  • Write clean, maintainable, and scalable code using modern web development technologies and best practices.

  • Develop and maintain both front-end and back-end components, ensuring seamless integration and optimal performance.

  • Troubleshoot and debug issues, implement fixes, and optimize application performance.

  • Participate in code reviews, provide constructive feedback, and contribute to a positive team culture.

  • Stay up-to-date with emerging technologies, industry trends, and best practices to continuously improve our product and development processes.

  • Contribute to our agile development methodology, attending daily stand-ups, sprint planning, and retrospective meetings.

  • Minimum 2-3 years of software engineering experience

  • Have built mobile apps (and/or web apps) full-stack before

  • Enthusiastic about photo sharing and/or AI and/or social media

Apply