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Medical Coding Using Ai Jobs in Huntsville, AL (NOW HIRING)

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Develop hypotheses, design experiments, and validate findings using statistical methods. * Develop ... Maintain best practices for secure coding, data protection, and ethical AI. * Implement monitoring ...

Starfish

Software Design Engineer 1

Huntsville, AL · On-site

Automate repetitive development tasks using AI-driven coding assistants. * Collaborate with ... ESOP participation, 401(k) match and safe-harbor contribution, medical, dental, vision, life ...

Booz Allen Hamilton

MuleSoft Architect

Huntsville, AL · On-site

$99K - $225K/yr

... code and legacy systems. Your customer will trust you to not only design and develop these tools ... Experience using AI tools to expedite MuleSoft development and testing * Knowledge of API-led ...

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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 Aug 8, 2026, the average hourly pay for medical coding using ai in Huntsville, AL is $22.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $23.70 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
Infographic showing various Medical Coding Using Ai job openings in Huntsville, AL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $45,953 per year, or $22.1 per hour.

AI Engineer

Decisive Intelligence Inc

Huntsville, AL • On-site

Full-time

Re-posted 28 days ago

Job description

Location:HUNTSVILLE, AL, United States
Date Posted:Mar 4, 2025
Category:Engineering and Sciences
Subcategory:Machine Learning Engineer
Schedule:Full-time
Shift:Day Job
Travel:Yes, 10 % of the Time
Minimum Clearance Required:Interim Secret
Clearance Level Must Be Able to Obtain:Secret
Potential for Remote Work:On-Site

Job Description

Description

Seeking anAI Engineerwith a strong background in data analytics and product development to join our innovative team inHuntsville, AL.This individual will be responsible for building, optimizing, and deploying AI-driven models, integrating data from multiple sources, and delivering actionable insights to inform strategic decisions. The ideal candidate is passionate about leveraging cutting-edge technologies to solve complex business challenges, has experience bringing AI products to market, and a track record of using data to improve processes, products, and services.

Job Responsibilities:

  • Design, build, and maintain ML/DL models for various AI applications. Continuously refine models for accuracy, efficiency, and scalability.
  • Analyze large datasets to identify patterns and insights. Develop hypotheses, design experiments, and validate findings using statistical methods.
  • Develop and maintain robust data pipelines ensuring data quality and usability. Collaborate with data engineering teams to optimize data infrastructure.
  • Support AI product development from prototyping to deployment and monitoring. Work with product managers, designers, and QA teams to integrate AI features.
  • Ensure scalable and efficient AI models and systems. Address latency and throughput to ensure a high-quality user experience.
  • Collaborate with product management and design teams for intuitive AI features. Translate complex AI functionalities into user-friendly interfaces.
  • Ensure AI solutions comply with privacy regulations (e.g., GDPR, CCPA). Maintain best practices for secure coding, data protection, and ethical AI.
  • Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing maintenance to ensure accuracy and reliability.
  • Work with cross-functional teams to translate business requirements into technical solutions. Communicate project status, findings, and roadblocks to stakeholders.
  • Stay current with AI research, tools, and best practices. Recommend emerging AI techniques to enhance product strategies and business objectives.

Qualifications

Education Requirements:

  • Bachelors degree inComputer Science, Data Science, Electrical Engineering, Physics, or a related field and two (2) years' experience; Six (6) years' related experience can be considered in lieu of degree (per contract vehicle).

Clearance Requirements:

  • Must possess an active Secret security clearance or have the ability to obtain one; US Citizenship required.

Required Experience/Skills:

  • 2+ years of experience working on AI, machine learning, or data analytics projects.
  • Proven track record of developing and deploying AI/ML modelsin a production environment.
  • Experience with product developmentlife cycles and Agile methodologies is a plus.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with SQL and NoSQLdatabases, and data processing frameworks like Apache Sparkor Hadoop.
  • Experience using analytics and visualization tools (e.g., Tableau, Power BI, matplotlib, Plotly).
  • Knowledge of cloud platforms(AWS, Azure, or GCP) for model deployment and data storage (preferred).
  • Strong problem-solvingabilities and attention to detail.
  • Excellent communicationand interpersonal skills for cross-team collaboration.
  • Ability to work independently and manage multiple projectssimultaneously.

Desired Experience/Skills:

  • Master's degree in AI, Data Science, or a related field.
  • Experience with MLOps pipelinesand CI/CD.
  • Background in UX/UI collaborationfor AI-focused products.

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