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Internship Health Ai Jobs (NOW HIRING)

Howard

Assistant/Associate Professor

Seeley, CA

The candidate will supervise postdocs, students, research assistants, or lab interns conducting ... Lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical ...

Digital Infuzion

Internship Opportunities

Rockville, MD · On-site

AI Innovation Challenge: Each summer culminates in a cross-disciplinary AI Innovation Challenge, where interns team up to solve a real-world health IT problem. * Networking: Build lasting connections ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 ... The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 ... The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ...

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How much do internship health ai jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship health ai in the United States is $16.33, 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 an internship in Health AI?

An Internship in Health AI is a temporary position designed for students or recent graduates interested in applying artificial intelligence techniques to healthcare challenges. Interns work alongside experienced professionals to develop, test, and implement AI-driven solutions that improve patient care, diagnostics, or healthcare operations. The role typically includes tasks such as data analysis, machine learning model development, and collaborating with multidisciplinary teams. This experience helps interns gain hands-on skills and industry knowledge, preparing them for future roles in health technology. Internships can take place in hospitals, research institutions, or health tech companies.

What types of projects can I expect to work on during a Health AI internship?

As a Health AI intern, you are likely to work on projects involving the development or analysis of artificial intelligence tools for healthcare applications. This may include tasks such as processing medical datasets, building predictive models for patient outcomes, or assisting with clinical decision support systems. You will often collaborate with multidisciplinary teams, including data scientists, clinicians, and software engineers. The work environment is typically fast-paced and encourages learning, making it a great opportunity to develop both technical and healthcare domain skills.

What are the key skills and qualifications needed to thrive as an internship Health AI professional, and why are they important?

To thrive in a Health AI internship, you generally need foundational knowledge in computer science, data analysis, and healthcare concepts, often supported by coursework or a related degree in fields like computer science, bioinformatics, or data science. Familiarity with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and experience with healthcare data systems (e.g., EHRs) are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help interns collaborate on interdisciplinary teams and present findings clearly. These skills ensure interns can contribute meaningfully to AI projects that improve healthcare outcomes and comply with industry standards.

What is the difference between Internship Health Ai vs Healthcare Data Analyst?

AspectInternship Health AiHealthcare Data Analyst
Required CredentialsRelevant coursework, basic understanding of AI and healthcareBachelor's degree in health informatics, data science, or related field
Work EnvironmentHealthcare tech companies, hospitals, research institutionsHospitals, clinics, healthcare organizations, consulting firms
Employer & Industry UsageUsed for developing AI tools for healthcare applicationsAnalyzing healthcare data to improve patient outcomes and operations

Internship Health Ai roles typically focus on gaining experience in AI applications within healthcare, often requiring coursework or basic knowledge. Healthcare Data Analysts usually hold degrees in related fields and perform data analysis to support healthcare decision-making. Both roles are integral to healthcare technology but differ in scope and experience level.

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What are the most commonly searched types of Health Ai jobs?

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Internship Health Ai jobs near you
Infographic showing various Internship Health Ai job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Internship Operations Coordinator

Birmingham, AL • On-site, Remote

QuantHub
Software Development • 11 - 50 employees
Learn more about QuantHubexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

The Internship Operations Coordinator supports QuantHub's growing workforce initiatives by coordinating the day-to-day execution of internship programs, student experiences, and program operations.
This role serves as the operational backbone for Alabama Data Scholars, the new AI for Alabama initiative launching this fall, and future internship cohorts and workforce programs. Working closely with the Employer Partnerships Manager, this position ensures internship programs are delivered with consistency, accuracy, and exceptional attention to detail while creating an outstanding experience for students and employer partners.
Because QuantHub is an education technology company, this role also supports the integration of AI and data skills training into every internship experience through QuantHub's learning platform and skill pathways.

Requirements

Internship Program Operations
  • Coordinate internship cohorts from application through program completion.
  • Maintain program timelines, operational calendars, and implementation plans.
  • Track onboarding, milestones, deliverables, and participant progress.
  • Coordinate required documentation and participant records.
  • Monitor deadlines and proactively follow up to keep programs on schedule.
Student Experience
  • Serve as the primary point of contact for student questions and support.
  • Coordinate student onboarding, orientation, and ongoing communications.
  • Monitor participation, learning progress, and internship completion.
  • Ensure students understand expectations, deadlines, and available resources.
  • Escalate concerns appropriately while maintaining an exceptional student experience.
Employer Operations
  • Partner closely with the Employer Partnerships Manager to ensure seamless internship implementation.
  • Coordinate employer onboarding and operational communications.
  • Manage internship logistics, scheduling, and required documentation.
  • Coordinate employer follow-up throughout each internship cohort.
Skills Training & Learning Platform
  • Coordinate student enrollment into QuantHub's AI and data skill pathways.
  • Monitor learner progress and credential completion.
  • Support integration of learning activities into the internship experience.
  • Help students navigate QuantHub's learning platform and resources.
AI-Enabled Operations & Continuous Improvement
  • Utilize AI tools to improve communication, reporting, and recurring operational tasks.
  • Recommend practical improvements to workflows and standard operating procedures.
  • Support implementation of scalable processes as workforce programs continue to grow.
  • Identify opportunities to improve efficiency while maintaining a high-quality participant experience.
Data & Reporting
  • Maintain accurate student, employer, and program records.
  • Track participation and program metrics.
  • Assist with grant reporting and stakeholder reporting.
  • Ensure data quality across workforce program systems.
Qualifications:
  • Bachelor's degree in Education, Business, Communications, Project Management, Human Resources, or related field.
  • 2-4 years of relevant program coordination, workforce, higher education, customer success, or nonprofit experience.
  • Exceptional organizational and project management skills.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • High attention to detail.
  • Strong proficiency with Microsoft Office, Google Workspace, and cloud collaboration tools.
Preferred: 
  • Experience supporting internship, workforce, or education programs.
  • Interest in education technology, AI, or workforce development.
  • Experience with learning management systems, CRM platforms, or participant management systems.
  • Experience coordinating events or multi-stakeholder initiatives.
  • Familiarity with AI-powered productivity tools and workflow automation.

Benefits

  • Flexible Time Off (FTO) 
  • 11 paid holidays per year
  • Flexible remote work
  • Comprehensive health benefits, including medical, dental, vision, and supplemental coverage options (subject to plan terms and eligibility; see full plan documents for details)
  • SIMPLE IRA with a 3% employer match, subject to plan terms and eligibility requirements

Apply