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Medical Artificial Intelligence Internship Jobs (NOW HIRING)

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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 1, 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
What cities are hiring for Medical Artificial Intelligence Internship jobs? Cities with the most Medical Artificial Intelligence Internship job openings:
What are the most commonly searched types of Medical Artificial Intelligence jobs? The most popular types of Medical Artificial Intelligence jobs are:
What states have the most Medical Artificial Intelligence Internship jobs? States with the most job openings for Medical Artificial Intelligence Internship jobs include:
What job categories do people searching Medical Artificial Intelligence Internship jobs look for? The top searched job categories for Medical Artificial Intelligence Internship jobs are:
Infographic showing various Medical Artificial Intelligence Internship job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • Hybrid

Full-time

Re-posted 24 days ago


Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.

The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.

Position Summary 

The AI Intern will support Hoosier Energy’s efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy’s AI usage policies and governance standards. 

Key Responsibilities

  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy’s AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables (“Human in the Loop”).
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications

  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics

  • Must adhere to Hoosier Energy’s AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.

Apply today to enhance your skills and take the next step in your professional development!

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.