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Medical Coding Using Ai Jobs in Salem, OR (NOW HIRING)

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with ... Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability ...

Flux Core Welder

Albany, OR

$25.50 - $34.50/hr

Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre ... By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Receptionist

Salem, OR · On-site

$16.50/hr

If eligible, the benefits available for this temporary role may include the following: • Medical ... using AI tools.

Receptionist

Salem, OR · On-site

$16.50/hr

If eligible, the benefits available for this temporary role may include the following: • Medical ... using AI tools.

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Medical Coding Using Ai information

See Salem, OR salary details

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

As of Aug 23, 2026, the average hourly pay for medical coding using ai in Salem, OR is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $24.18 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 Salem, OR?

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

What job categories do people searching Medical Coding Using Ai jobs in Salem, OR look for?

The top searched job categories for Medical Coding Using Ai jobs in Salem, OR are:

What cities near Salem, OR are hiring for Medical Coding Using Ai jobs?

Cities near Salem, OR with the most Medical Coding Using Ai job openings:

Staff AI Research Engineer

Agility Robotics

Salem, OR • On-site, Remote

$216K - $338K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 hours ago


Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About The Role
The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. In addition to driving research direction, you will play a key role in shaping the technical roadmap for robot learning at Agility and leveling up a growing team of junior AI research engineers by providing mentorship, guiding project execution, and establishing strong research and engineering practices.
About the Work
  • Establish team-level standards for research execution, including experiment tracking, evaluation protocols, and model benchmarking.
  • Mentor and guide junior AI research engineers through project design, experiment execution, and technical problem solving.
  • Drive alignment across AI Research and Robotics teams on methods, evaluation, and deployment readiness for learned policies.
  • Review experimental design, code, and results to ensure rigor, reproducibility, and alignment with research goals.
  • Help onboard new researchers and accelerate their effectiveness in robot learning and experimental workflows.
  • Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment.
  • Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks.
  • Design and implement new simulation environments and tasks to support training and deployment of control policies.
  • Develop, design, and test imitation learning methods.
  • Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production.
About You
  • 7+ years of total experience in software engineering and/or AI/robotics.
  • 3+ years of hands-on experience developing and deploying learning-from-demonstration, reinforcement learning, imitation learning, foundation models, or related robot learning systems in real-world or simulated robotics environments
  • Proven ability to mentor and develop junior engineers or researchers, raising the technical bar of a team.
  • Track record of leading complex technical initiatives and influencing technical direction from research through deployment.
  • Strong ability to translate ambiguous research problems into structured, executable work for a team.
  • Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.
  • Experience with modern learning-from-demonstration tools such as DiffusionPolicy.
  • Experience with robot data collection, training, and testing on hardware for manipulation tasks.
  • MS in Robotics, Computer Science, or a related field.
Bonus Points
  • PhD in Robotics, Computer Science, or a related field.
  • Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA).
  • Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques.
  • Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control
  • Experience with writing performant, high quality software in C++

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$216,000-$338,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.