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Medical Coder Internship Jobs in Washington (NOW HIRING)

ASSYST, Inc.

Junior Full Stack Developer

Sterling, VA · On-site

The ideal candidate must be eager to learn, passionate about coding, and enjoys collaborating in an ... Required Qualifications: * 0-2 years of software development experience (internships and academic ...

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Medical Coder Internship information

What is the difference between Medical Coder Internship vs Medical Coder?

AspectMedical Coder InternshipMedical Coder
CredentialsTypically students or recent graduates, may have basic certificationsCertified Professional Coder (CPC) or equivalent required
Work EnvironmentTraining setting, supervised, often part-time or temporaryFull-time, independent or team-based in healthcare facilities
Employer & Industry UsageHospitals, clinics, training programsHospitals, physician offices, insurance companies
Search & Comparison IntentLearning, entry-level experienceProfessional work, career advancement

In summary, a Medical Coder Internship is a training position for those starting in the field, focusing on gaining experience under supervision. A Medical Coder is a certified professional responsible for coding medical records independently, often with more experience and credentials.

What are the key skills and qualifications needed to thrive as a medical coder intern, and why are they important?

To thrive as a Medical Coder Intern, you need a strong understanding of medical terminology, anatomy, and basic coding concepts, often supported by coursework or enrollment in a health information management program. Familiarity with ICD-10, CPT coding systems, and electronic health record (EHR) software is typically required, and pursuing certification such as CPC or CCA is advantageous. Attention to detail, analytical thinking, and effective communication are crucial soft skills for accurately translating clinical data and collaborating with healthcare teams. These skills ensure precise coding, regulatory compliance, and support efficient healthcare billing and reimbursement processes.

What are the qualifications to get a medical coder internship?

The primary qualifications for a medical coder internship are enrollment in or graduation from a medical coding program and the ability to acquire a relevant coding certificate. You do not always need a coding certificate for an internship, but they can help you stand out from other applicants. Most medical coders wait until fairly late in their education to seek this kind of internship, as unlike in some other fields, medical coding requires a strong foundation in medical terminology and existing codes, and most students haven't mastered this until close to graduation. Fulfilling the responsibilities and duties of a medical coding internship requires attention to detail, communication skills, and organizational skills.

What is a medical coder internship?

A Medical Coder Internship is a temporary, supervised position that allows students or recent graduates to gain practical experience in medical coding within a healthcare setting. Interns learn to review clinical documents, assign standardized codes for diagnoses and procedures, and ensure accurate billing and record-keeping. This hands-on training is designed to help aspiring coders apply classroom knowledge, familiarize themselves with coding systems like ICD-10 and CPT, and develop skills necessary for a full-time medical coding career.

What are some common challenges faced during a medical coder internship, and how can interns effectively overcome them?

Medical Coder Interns often encounter challenges such as understanding complex medical terminologies, accurately interpreting physicians' notes, and keeping up with frequent updates to coding standards. To overcome these challenges, interns should actively seek feedback from experienced coders, utilize available coding reference materials, and participate in training sessions provided by their organization. Building strong communication skills and asking questions when unsure can also help interns learn faster and avoid common coding errors.
More about Medical Coder Internship jobs
What are the most commonly searched types of Medical Coder jobs in Washington? The most popular types of Medical Coder jobs in Washington are:
What are popular job titles related to Medical Coder Internship jobs in Washington? For Medical Coder Internship jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Medical Coder Internship jobs in Washington look for? The top searched job categories for Medical Coder Internship jobs in Washington are:
What cities in Washington are hiring for Medical Coder Internship jobs? Cities in Washington with the most Medical Coder Internship job openings:
Medical Coder Internship jobs near you
Infographic showing various Medical Coder Internship job openings in Washington 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.

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Apply