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Medical Artificial Intelligence Internship Jobs (NOW HIRING)

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... Medical, Dental, Disability, and Life Insurance * Holistic Health & Well-being programs * Flexible ...

Amrize

Director of Artificial Intelligence

Portland, OR · On-site

$170K - $220K/yr

We're seeking a Director of Artificial Intelligence who's ready to be part of our mission to ... Medical, Dental, Disability, and Life Insurance * Holistic Health & Well-being programs * Flexible ...

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Medical Artificial Intelligence Internship information

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How much do medical artificial intelligence internship jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for medical artificial intelligence internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Medical Artificial Intelligence Internship vs Medical Data Analyst Internship?

AspectMedical Artificial Intelligence InternshipMedical Data Analyst Internship
Required CredentialsRelated coursework in AI, machine learning, healthcare techBackground in data analysis, statistics, healthcare data
Work EnvironmentResearch labs, healthcare tech companies, hospitalsHospitals, clinics, healthcare organizations, research institutions
Employer & Industry UsageTech companies developing AI tools for medicineHealthcare providers analyzing patient data
Common Search & Comparison IntentUnderstanding AI-focused internships in healthcareExploring data analysis internships in medical settings

The Medical Artificial Intelligence Internship focuses on developing and applying AI technologies in healthcare, often requiring knowledge of machine learning and programming. In contrast, the Medical Data Analyst Internship emphasizes analyzing healthcare data to support clinical decisions, requiring skills in statistics and data management. Both internships are valuable entry points into healthcare tech but serve different roles within the industry.

What types of projects and daily tasks can I expect during a medical artificial intelligence internship?

During a Medical Artificial Intelligence Internship, you can expect to work on projects such as developing or refining machine learning models to analyze medical images, patient data, or electronic health records. Daily tasks often include data preprocessing, running experiments, collaborating with data scientists, clinicians, and software engineers, and documenting your findings. Interns frequently participate in team meetings, present progress updates, and may contribute to research publications or prototype solutions that could directly impact patient care. This hands-on experience provides valuable exposure to both the technical and healthcare aspects of AI applications.

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

To thrive as a Medical Artificial Intelligence Intern, you typically need a background in computer science or biomedical engineering, strong programming skills (such as Python), and foundational knowledge of machine learning and healthcare concepts. Familiarity with AI frameworks like TensorFlow or PyTorch, data analysis tools, and possibly HIPAA compliance training are commonly required. Strong analytical thinking, problem-solving ability, and clear communication help interns collaborate effectively with multidisciplinary teams. These skills and qualities are crucial for developing impactful AI solutions that enhance healthcare outcomes while ensuring ethical and regulatory compliance.

What is a medical artificial intelligence internship?

A Medical Artificial Intelligence Internship is a temporary position that allows students or recent graduates to gain hands-on experience working with AI technologies in the healthcare field. Interns typically assist with developing, testing, or implementing AI models that help improve medical diagnosis, treatment, or patient care. These internships often involve tasks such as data analysis, programming, and collaborating with healthcare professionals and data scientists. The goal is to provide practical exposure to real-world medical AI applications, preparing interns for future roles in this rapidly growing field.
More about Medical Artificial Intelligence Internship jobs
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Medical Artificial Intelligence Internship jobs near you
Infographic showing various Medical Artificial Intelligence Internship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Artificial Intelligence/Machine Learning Engineer, Junior

EverWatch

Annapolis Junction, MD • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country’s most critical missions. The AI/ML Engineer will develop and deploy artificial intelligence and machine learning solutions to enhance operational workflows and support decision-making in secure environments.
Responsibilities:
• Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security.
• As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
• You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities.
• Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
• You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments.
• Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Qualifications:
Required:
• 1-4 years of experience with Python for data analysis and machine learning tasks through academic, internship, or project-based work
• Knowledge of machine learning concepts including supervised learning, model evaluation, and data preprocessing
• Familiarity with standard data science libraries and development tools
• Ability to think analytically, solve problems effectively, and learn quickly in a fast-paced, mission-oriented environment
• Ability to collaborate within a team and communicate technical concepts clearly
• TS/SCI clearance with a polygraph
• Bachelor’s degree in computer science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field or master’s degree with limited experience
Preferred:
• Experience with academic coursework, thesis work, or capstone projects involving machine learning, natural language processing, or data science applications
• Experience with version control tools such as Git and collaborative development environments
• Knowledge of deep learning frameworks such as PyTorch or TensorFlow
• Knowledge of large language models (LLMs) and generative AI concepts
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Knowledge of containerization technologies such as Docker or Kubernetes
• Knowledge of agentic AI, retrieval-augmented generation (RAG), or other applied NLP techniques
• Prior internship, co-op, research, or project experience supporting government, defense, or intelligence community environments
Company:
EverWatch focuses on in-house investment management. Founded in 1999, the company is headquartered in West Palm Beach, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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