AI Data Specialist Internships
Ai data specialist internships give university students, recent graduates, and early-career switchers hands-on project experience working with real datasets, mentorship from working data scientists and analysts, and, at many employers, a path toward a full-time offer. Openings are concentrated across Energy, Food & Beverage, and Technology & Software, with Cook, V2X, and Bosch among the employers posting roles now.
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Showing 5 of 19+ AI Data Specialist 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 Specialist Internship Market
Who's Hiring
Top Industries Hiring
- Energy
- Food & Beverage
- Technology & Software
- Marketing & Advertising
Tips for Your AI Data Specialist Internship Search
Apply months before the internship starts
Large employers open summer cohort applications the preceding fall, and many close them before spring semester begins. Smaller companies and co-op programs post closer to start dates, so internship listings appear year-round. Check for new openings regularly rather than waiting for a single recruiting season.
Build a project portfolio before you apply
Hiring teams for ai data specialist interns expect limited work history and assess candidates on project work instead. Build two or three documented projects using tools relevant to the role, such as Python, SQL, or a machine learning framework, and host them somewhere reviewers can see your code or outputs directly.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach and increases your chances of landing an interview.
Practice your technical screen out loud
Ai data specialist intern interviews typically include a technical screen covering data structures, SQL queries, probability, or applied machine learning concepts. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the right answer.
Target structured new-grad and rotational programs early
Many large technology and analytics employers run cohort-based data internship programs designed specifically for candidates new to the field. These programs recruit early in the fall recruiting cycle and fill their cohorts fast, so identify the ones that match your background and submit your application in the first wave.
Set your work-type filter before you start
On-site roles are 20% of the ai data specialist internships listed here. Decide what you can realistically commit to before you start sorting through listings, then filter by location and work type so you spend your time on roles you can actually accept.
AI Data Specialist Internships: Frequently Asked Questions
How do I get an ai data specialist 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 documented data or machine learning projects, ideally hosted somewhere they can review your code, analyses, or model outputs. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an ai data specialist 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 specialist interns is consistent performance on real project work, available headcount on the team at the time an offer would start, and return-offer timelines that vary by company. Position for one by delivering measurable results, but keep applying to other roles so you're not counting on a single outcome.
When should I apply for ai data specialist internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, often with application deadlines in September or October. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best chance before cohorts fill.
Are ai data specialist internships paid?
Most professional ai data specialist 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 internships exist but are uncommon at established technology, finance, and healthcare employers. Where pay is listed, you'll see it directly in the posting.
What should an ai data specialist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools used and link to where the work lives, such as a GitHub repository, a published analysis, or a Kaggle notebook. Add relevant coursework in machine learning, statistics, or data engineering. Keep the whole document to one page so reviewers can assess your fit at a glance.
Are there remote ai data specialist internships?
Yes. Remote and hybrid roles make up 80% of the ai data specialist 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 data specialist 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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