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Medical Coding Using Ai Jobs in Columbia, SC (NOW HIRING)

Vibe Coding Tutor

Columbia, SC · Remote

$18 - $40/hr

Deep knowledge of AI-assisted software development using natural language prompts, iterative prompt refinement for code generation, project scaffolding with AI tools, debugging AI-generated code ...

PB Coding Supervisor

Columbia, SC · On-site

$34.26 - $53.96/hr

Collaborate with Coding Manger(s) and other departments as needed to meet Medical Group objectives ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Cursor Tutor

Columbia, SC · Remote

$18 - $40/hr

Skilled at teaching AI-assisted code editing, project navigation, and development workflow optimization using Cursor. Guides students through writing code with AI suggestions, using chat to generate ...

Coding Tutor

Columbia, SC · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Showing results 21-40

Medical Coding Using Ai information

See Columbia, SC salary details

$14

$20

$31

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 Columbia, SC is $20.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.26 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 cities near Columbia, SC are hiring for Medical Coding Using Ai jobs? Cities near Columbia, SC with the most Medical Coding Using Ai job openings:
Infographic showing various Medical Coding Using Ai job openings in Columbia, SC as of August 2026, with employment types broken down into 68% Full Time, 11% Part Time, and 21% Contract. Highlights an 63% In-person, and 37% Remote job distribution, with an average salary of $43,146 per year, or $20.7 per hour.

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC

$104K - $138K/yr

Full-time

Re-posted 17 days ago


Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector.

This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI .

Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).
Education:Bachelor LevelEmployment Type: FULL_TIME