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Ai Medical Coding Jobs in Riverside, CA (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Irvine, CA

$99K - $232K/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 ...

Planet DDS

QA Engineer III (AI-Powered)

Irvine, CA · On-site

$40 - $55/hr

Contribute to code reviews, design reviews, effort estimates, task breakdowns, and other team ... Medical, dental and vision insurance * Health Savings Account * Flexible Spending Accounts

Pwc

NGA AI Engineer Senior Manager

Irvine, CA

$91K - $321K/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 ...

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All JobsAi Medical Coding JobsAi Medical Coding Jobs in Riverside, CA

Ai Medical Coding information

See Riverside, CA salary details

$5

$31

$48

How much do ai medical coding jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for ai medical coding in Riverside, CA is $31.29, according to ZipRecruiter salary data. Most workers in this role earn between $25.82 and $35.87 per hour, depending on experience, location, and employer.

How does an AI Medical Coding professional typically collaborate with healthcare providers and IT teams?

AI Medical Coding professionals often work closely with healthcare providers to ensure clinical documentation is accurately interpreted and coded. They also collaborate with IT teams to implement, validate, and optimize AI-driven coding tools, ensuring systems meet compliance standards and integrate smoothly with existing electronic health records (EHRs). Open communication with both groups is essential, as it helps address discrepancies, improve coding accuracy, and streamline workflows. This cross-functional collaboration is key to maintaining high-quality data and regulatory compliance in a fast-paced healthcare environment.

How much does AI in healthcare pay?

AI medical coding specialists typically earn between $50,000 and $70,000 annually, depending on experience, certifications, and location. Advanced roles or those with specialized skills in machine learning or healthcare data analysis can earn higher salaries, often exceeding $80,000 per year.

Is medical billing and coding worth it in 2026?

Medical billing and coding is a stable career with growing demand due to the ongoing need for healthcare documentation and insurance processing. Certified professionals with skills in coding systems like ICD-10 and CPT are likely to find good job opportunities, especially as healthcare regulations evolve. The role typically offers flexible schedules and can be performed remotely, making it a viable option for many job seekers.

What is AI Medical Coding?

AI Medical Coding refers to the use of artificial intelligence technologies to automate the process of converting healthcare diagnoses, procedures, and services into standardized medical codes. These codes are essential for billing, insurance claims, and maintaining accurate patient records. AI systems can analyze clinical documents and recommend or assign appropriate codes with greater speed and accuracy, helping to reduce human error and administrative workload. This technology supports healthcare providers by streamlining coding processes and ensuring compliance with regulatory standards.

Which 3 jobs will survive AI?

Ai Medical Coding is likely to remain in demand because it requires specialized knowledge of medical terminology, coding standards, and critical thinking that are difficult for AI to fully replicate. Jobs involving complex decision-making, such as healthcare professionals, data analysts, and AI specialists, are also expected to persist. These roles benefit from human oversight, adaptability, and contextual understanding that AI currently cannot fully replace.

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

AspectAi Medical CodingMedical Coding
CertificationsTypically requires CPC or CCS certificationsRequires CPC, CCS, or equivalent certifications
Work EnvironmentOften performed in healthcare facilities or remotely with AI supportPrimarily in hospitals, clinics, or remote settings
Industry UsageUsed in healthcare billing, insurance, and AI-driven coding toolsUsed in medical billing, coding departments, and healthcare administration

Ai Medical Coding combines artificial intelligence with medical coding skills, often requiring similar certifications as traditional Medical Coding. While Medical Coders manually review and assign codes, Ai Medical Coding leverages AI tools to automate or assist this process. Both roles are essential in healthcare billing and insurance, but Ai Medical Coding emphasizes technology integration, making it suitable for those interested in AI applications within healthcare.

What are the key skills and qualifications needed to thrive as an AI Medical Coder, and why are they important?

To thrive as an AI Medical Coder, you need expertise in medical coding standards (ICD-10, CPT), healthcare regulations, and a strong understanding of medical terminology, often supported by a certification such as CPC or CCS. Familiarity with AI-driven coding platforms, EHR systems, and data analytics tools is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for ensuring coding accuracy and collaborating with healthcare teams. These competencies are essential for maintaining compliance, optimizing reimbursement, and supporting efficient healthcare operations in an increasingly technology-driven environment.

Will medical coding be done by AI?

AI is increasingly used to assist medical coding by automating routine tasks and improving accuracy, but human medical coders are still essential for complex cases, quality control, and ensuring compliance. AI tools can enhance efficiency but do not fully replace the need for trained professionals in medical coding roles.
What are popular job titles related to Ai Medical Coding jobs in Riverside, CA? For Ai Medical Coding jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Medical Coding jobs in Riverside, CA look for? The top searched job categories for Ai Medical Coding jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Medical Coding jobs? Cities near Riverside, CA with the most Ai Medical Coding job openings:
Ai Medical Coding jobs near you

Data Scientist- Applied AI

Kia America, Inc.

Irvine, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.

Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status

Exempt 

General Summary

The Data Scientist plays an important role in executing data analysis for Kia North America’s regional subsidiaries (KUS/KCA/KaGA/KMX). Kia’s Big Data Analysis team leverages vast and diverse datasets to drive business improvements and insights. The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the application of data, analytics, automation, and responsible AI to advance Kia’s business operations.


This role focuses on applying data science and AI techniques to analyze text and other unstructured data, build models, and generate insights that support business decisions. The role contributes to developing new AI- and data-driven products, capabilities, and analytical assets, treating data and models as products that can be used and scaled across the business.

Essential Duties and Responsibilities

1st Priority - 30%

Data Processing and Modeling 

  • Assess the accuracy of new data sources
  • Understand the relationship between data sources and downstream use cases
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Build, train, and evaluate machine learning and AI models, including modern NLP and GenAI approaches where appropriate.
  • Coordinate with cross-functional teams for feature engineering and data integration 

2nd Priority - 30%

Model Evaluation, Iteration, and Insight Communication

  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present information using Python notebooks and/or dashboards
  • Explain model behavior and performance in an intuitive manner to technical and non-technical audiences
  • Continuously monitor and validate production model performance
  • Treat models and analytical outputs as reusable products or services with clear ownership and quality standards

3rd Priority - 20%

Collaborate with IT on model deployment and MLOps setup 

  • Build or contribute to REST APIs for model inference and result consumption
  • Partner with IT system developers on model deployment and MLOps best practices to ensure production readiness

4th Priority - 20%

Clear documentation, source code management, and reproducible analysis

  • Use git within GitLab
  • Create virtual environments to isolate project dependencies and requirements
  • Track model performance and hyperparameter configurations
  • Track data and model versioning

This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.

Qualifications/Education
  • Bachelor’s degree in a technical or quantitative field required (e.g., Computer Science, Engineering, Mathematics, Statistics, or related field)
  • Master’s degree in analytics, data science, or computer science preferred
Job Requirement
  • 3+ years of experience in data science preferred.
  • Strong foundation in machine learning required.
  • Strong Python and SQL skills required.
  • Hands-on experience building AI-powered features or products (e.g., NLP pipelines, GenAI features, AI agents); strong interest in continuous learning expected.
  • Familiarity with MLOps concepts (model versioning, deployment workflows, monitoring) preferred.
  • Ability to manage projects end-to-end and collaborate across technical and non-technical teams.
  • Experience querying databases and using programming languages such as Python and SQL
  • Experience using statistics and machine learning algorithms (deep learning a plus)
  • Experience with big data processing frameworks such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms (e.g., Databricks, AWS) preferred
  • Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)
Specialized Skills and Knowledge Required
  • Proficiency in Python and SQL
  • Knowledge and experience with NLP and related applied AI techniques (e.g., embeddings, retrieval, GenAI workflows)
  • Experience with common Python libraries for data analysis such as Pandas and NumPy
  • Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
  • Experience developing and evaluating statistical and machine learning models using libraries such as statsmodels and scikit-learn
  • Experience with deep learning frameworks such as PyTorch and TensorFlow preferred
  • Experience with big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
  • Strong data-driven problem-solving skills
  • Excellent written and verbal communication skills to coordinate across teams

Competencies

  • Care for People
  • Chase Excellence Every Day
  • Dare to Push Boundaries
  • Empower People to Act
  • Move Further Together

Pay Range

$89,936 - $121,409

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.

Equal Employment Opportunities

KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law.  KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices.  The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.

Disclaimer:  The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

About Kia America

Sourced by ZipRecruiter

Industry

Motor vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1994

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