AI Quality Analyst Internships
Ai quality analyst internships give university students, recent graduates, and early-career switchers hands-on project experience testing and evaluating AI systems alongside working quality engineers and data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in Energy, Food & Beverage, and Technology & Software, with Cook, Bosch, and Shure among the employers posting roles now.
Find AI Quality Analyst InternshipsOverview
Showing 5 of 19+ AI Quality Analyst Internships











Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats?
If you are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team.
We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions.
As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems.
As a member of our team...
- You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches.
- You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed.
- You will create, develop, and debug code to contribute to various multi-user software test beds.
- You will create effective visualizations and documentation to explain complex topics to a variety of audiences.
Qualifications
You meet our minimum qualifications for the job if you...
- Are pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Are fluent in Python or C/C++, with the ability to translate mathematical concepts into well-documented and efficient code
- Have a desire to apply software engineering techniques to complex problems
- Have good written and verbal communication skills
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship
You'll go above and beyond our minimum requirements if you...
- Are pursuing a PhD degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale
- Have basic knowledge in AI/ML or have taken AI/ML courses
- Have basic knowledge in Autonomy, or have taken Autonomy courses
- Have prior experience deploying AI/ML or Autonomy algorithms on edge compute devices
- Have prior experience developing AI/ML algorithms, used Generative AI or LLMs
- Have demonstrated experience in working with version control software like Git
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$22.60 Hourly
Maximum Rate
$47.95 Hourly
AI Quality Analyst Internship Market
Who's Hiring



Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your AI Quality Analyst Internship Search
Apply earlier than you think necessary
Large employers open summer ai quality analyst internship applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to their start dates. Checking listings consistently through the fall and winter means you don't miss the structured cohorts that fill first.
Build a portfolio before you apply
Hiring teams for ai quality analyst internships expect limited work history, so your portfolio is what gives them something to assess. Document two or three projects that show test case design, model evaluation, or defect tracking, include the tools you used, and link to code repositories or published reports so the work is verifiable.
Work your campus network alongside direct applications
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles appear publicly. Applying directly to companies running smaller cohorts at the same time widens the pool you reach beyond what campus channels alone can surface.
Practice the ai quality analyst intern screen out loud
AI quality analyst intern interviews typically include a technical screen covering software testing concepts, basic scripting or query tasks, and scenario-based questions about how you would evaluate a model's output. Practice explaining your reasoning as you work through each problem, since interviewers weight how you think as much as the final answer.
Target structured internship programs at larger companies
Many large technology and enterprise companies run cohort-based quality engineering or AI evaluation internship programs designed to train candidates new to the field. These programs recruit early, fill fast, and often include mentorship and rotation across teams. Identify the ones that fit your background and apply in the first wave of their cycle.
Set your work-type filter before you start
On-site roles are 40% of the ai quality analyst internships listed here. Decide what you can realistically commit to before you start sorting through openings, then filter by location and work type so you are only reviewing roles you can actually take.
AI Quality Analyst Internships: Frequently Asked Questions
How do I get an ai quality analyst internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio that includes documented test cases, bug reports, or evaluation frameworks that give recruiters something concrete to assess. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai quality analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for ai quality analyst interns is performance on real project work, available headcount on the team at the end of the internship, and how early you signal interest in returning. Position for a return offer by delivering well and building relationships, without counting on it.
When should I apply for ai quality analyst internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, so applications open months before the internship starts. Smaller companies and co-op programs post closer to their actual start dates, which means openings appear year-round. Checking listings regularly rather than waiting for a single season gives you the widest window.
Are ai quality analyst internships paid?
Most professional ai quality analyst internships in the U.S. are paid. Compensation varies by company size, industry, and location, so there is no single standard. Where an employer discloses pay, the listing will show it. Unpaid internships are uncommon at established technology and enterprise companies but do appear at some startups and nonprofits.
What should an ai quality analyst internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that show the tools you used and the outcomes you measured, with links to code repositories, evaluation reports, or published analyses so recruiters can verify the work. Add relevant coursework in machine learning, software testing, or data analysis. Keep the resume to one page.
Are there remote ai quality analyst internships?
Yes. Remote and hybrid roles make up 60% of the ai quality analyst internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early and filter by work type to see them before they close.
Can international students get ai quality analyst internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
See All 19 AI Quality Analyst Internship Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Quality Analyst Internships