AI Data Trainer Internships
Ai data trainer internships give university students, recent graduates, and early-career switchers hands-on project experience annotating and evaluating AI outputs, mentorship from working data scientists and ML engineers, 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.
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Showing 5 of 19+ AI Data Trainer 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
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 Data Trainer Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your AI Data Trainer Internship Search
Apply earlier than you think necessary
Large AI and tech employers recruit summer ai data trainer interns the preceding fall, often closing cohorts months before the start date. Smaller companies and co-op programs post much closer to their start dates, so new openings appear year-round. Set a recurring reminder to check listings at the start of each month so you don't miss a recruiting window.
Build a portfolio before you start applying
Hiring teams for ai data trainer internships expect limited work history and look for evidence of practical skill instead. Put together two or three documented projects showing annotation samples, quality-evaluation write-ups, or labeled datasets, with the tools named and the work accessible via a GitHub repository or shared document. A link recruiters can click beats a list of skills every time.
Work your campus network alongside direct applications
Campus career fairs surface structured ai data trainer internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts, since many never recruit on campus. Doing both widens the pool you actually reach.
Practice the ai data trainer intern screen out loud
AI data trainer intern interviews typically include a task-based or scenario screen where you evaluate model outputs, rank responses, or catch errors in labeled data. Practice explaining your reasoning aloud as you work through examples, since interviewers weigh how you think through edge cases as much as whether your final judgment matches theirs. Walk through your annotation decisions step by step.
Target structured internship programs at larger companies
Larger AI and tech employers often run cohort-based data annotation and AI evaluation internship programs designed to train people new to the field. These programs recruit early, fill fast, and give you structured mentorship rather than ad-hoc assignments. Identify the programs that recruit from your school or region and get your application in during the first wave.
Set your work-type filter before you start
On-site roles are 40% of the ai data trainer internships listed here. Decide what you can commit to before you start reviewing listings, then filter by location and work type so you're only spending time on roles you can actually take. Filtering first also makes it easier to spot remote cohorts before they fill.
AI Data Trainer Internships: Frequently Asked Questions
How do I get an ai data trainer internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. The concrete artifact that gives recruiters something to assess is a portfolio of labeled datasets, annotation samples, or quality-evaluation write-ups hosted where they can review it. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai data trainer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it for ai data trainer interns is consistent performance on real annotation and evaluation tasks, available headcount on the team, and understanding the return-offer timeline early in your internship. Position yourself by treating every project seriously, without counting on a standing offer at the end.
When should I apply for ai data trainer internships?
Earlier than most candidates expect. Large tech and AI employers recruit summer interns the preceding fall, often closing cohorts before spring semester begins. Smaller companies and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly means you won't miss a cycle because you assumed it was too early or too late.
Are ai data trainer internships paid?
Most professional ai data trainer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid arrangements are uncommon at established companies and are more likely at very early-stage startups. Reviewing the posting carefully will tell you what a given role offers before you apply.
What should an ai data trainer internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that show your annotation methodology, the tools you used (such as Label Studio, Scale AI interfaces, or Python scripts), and link directly to your work where possible, whether a GitHub repository, a published analysis, or a written case study. Add relevant coursework in machine learning or linguistics, and keep it to one page.
Are there remote ai data trainer internships?
Yes. Remote and hybrid roles make up 60% of the ai data trainer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early once you find a role that fits. Use the work-type filter to see only remote or hybrid listings and avoid sorting through positions you can't take.
Can international students get ai data trainer 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.
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