15 AI Internships for Undergraduates in Colorado
If you’re an undergraduate student interested in artificial intelligence, internships can be one of the most effective ways to gain hands-on experience and explore the field in depth. AI internships often combine real-world projects with mentorship from researchers, engineers, or industry professionals, helping you build technical skills and develop a strong professional network. As an intern, you may work on tasks like training machine learning models, analyzing datasets, or contributing to AI-driven products, while also gaining exposure to how AI is applied across industries.
Why should I do an Artificial Intelligence internship in college?
Colorado is home to a growing ecosystem of tech companies, research labs, and startups that offer both summer and year-round AI internship opportunities. From machine learning and data science to robotics and natural language processing, the range of roles available allows you to explore different areas within AI. With access to innovative companies and collaborative work environments, you can deepen your expertise and gain valuable experience that strengthens your resume.
To help you get started, we’ve put together a list of 15 AI internships for undergraduates in Colorado.
Check out other AI internships available for undergraduates here.
1. Apple Machine Learning / AI Internships
Location: Various locations across the U.S.
Cost/Stipend: Paid
Acceptance rate/cohort size: Selective
Dates: Internships available throughout the year
Application Deadline: Rolling
Eligibility: Open to students working toward an undergraduate degree in computer science, engineering, data science, applied mathematics, or equivalent
In Apple’s Artificial Intelligence and Machine Learning (AIML) Internship, you’ll work on applied or research-driven ML projects alongside engineers, researchers, and program managers. Depending on your team, you may tackle challenges in areas such as large language models, diffusion models, reinforcement learning, accessibility, privacy, or algorithmic fairness. With guidance from technical mentors, you’ll collaborate across teams to design and build impactful machine learning solutions using modern tools and frameworks. Your work may involve improving evaluation methods, developing new techniques, or contributing research that influences Apple products. The internship typically concludes with a presentation to AI/ML leadership, and in some cases, your work may be considered for submission to academic conferences.
2. Ladder Internships Program
Location: Virtual
Cost/Stipend: Varies by program
Dates: Multiple cohorts throughout the year
Application Deadline: Varies by cohort
Eligibility: High school students, undergraduates, and gap year students who can work for 10-20 hours/week
Ladder Internship is a selective 8-12 week program designed for ambitious high school students, offering the chance to intern with fast-growing startups. These companies operate across diverse fields, including tech, AI/ML, health tech, marketing, journalism, and consulting. As an intern, you’ll work closely with your manager and a dedicated Ladder Coach on real-world projects, gaining hands-on experience. Most partner startups are high-growth ventures that have raised significant funding. The program concludes with a final presentation in which you showcase your work to the company.
3. Amazon Internships
Location: Various locations across the U.S.
Cost/Stipend: Paid
Acceptance rate/cohort size: Selective
Dates: Internship opportunities are available year-round
Application Deadline: Rolling
Eligibility: Open to undergraduates who are rising seniors or recent graduates
As an Amazon intern, you’ll collaborate with cross-functional teams spanning machine learning, applied science, software engineering, and robotics to develop and evaluate real-world solutions. Your work may involve data-driven modeling, large language models, and AI-powered features used in live systems. The program emphasizes end-to-end ownership, allowing you to take a project from initial problem definition through design, implementation, and evaluation. You’ll receive one-on-one mentorship and regular feedback as you work with production-scale data and modern ML frameworks. The full-time internship is structured to mirror Amazon’s day-to-day engineering and research environment.
4. Colorado Futuretek Student Internship Program
Location: Colorado (In-person placements at partner organizations)
Cost/Stipend: Paid internships
Acceptance rate/cohort size: Not publicly mentioned
Dates: Summer internships
Application Deadline: Varies by cohort
Eligibility: Students who complete training programs in information technology or computer networking through Colorado Futuretek
The Colorado Futuretek Student Internship Program gives you the opportunity to build practical experience in technology-driven workplace environments while working with professionals across finance, operations, analytics, and digital systems. Depending on your placement, you may contribute to projects involving data organization, business intelligence tools, workflow automation, or technology-supported problem-solving while strengthening professional and technical skills in real organizational settings. The program places strong emphasis on workforce readiness and applied learning, making it particularly useful if you want early exposure to how data and technology tools are used in operational environments.
5. Yale Computer Science Remote Research Internship
Location: Virtual (varies by project)
Cost/Stipend: Paid internship
Acceptance rate/cohort size: Not publicly specified
Dates: Internship timelines vary by research project
Application Deadline: December 15 for summer opportunities
Eligibility: Undergraduate students in computer science or related fields; international students eligible for virtual positions
Yale’s Computer Science Research Internship Program provides virtual research opportunities that allow students to contribute remotely to ongoing computer science projects. Based on your interests, you’ll be matched with a faculty mentor and work in areas such as artificial intelligence, machine learning, or software systems. Since much of the research can be conducted online, the program is accessible regardless of geographic location. Alongside project work, you’ll participate in virtual seminars, research discussions, and collaborative meetings. Depending on your contribution and project scope, your work may also be included in academic publications or technical reports. The remote internship is open to both U.S. and international undergraduate students.
6. Built In Colorado Internships
Location: Various cities across Colorado, including Denver and Boulder. Remote and hybrid options offered by some employers
Cost/Stipend: Varies by internship and employer
Acceptance rate/cohort size: Not specified
Dates: Opportunities listed year round. Many summer internships run 10 to 12 weeks or longer
Application Deadline: Varies by company and listing
Eligibility: Undergraduate students in computer science, data science, mathematics, or related fields
Built In Colorado features a rotating selection of AI-focused internships for undergraduates in Colorado, connecting students with both local and national employers across fields such as machine learning, data science, artificial intelligence, and advanced analytics. Many listings include roles like AI/ML engineering interns working on model development, data science interns analyzing large datasets, and software engineering interns contributing to AI-driven products. Some of these opportunities offer hybrid or remote flexibility, making them accessible to a wider range of students. Through these internships, you can build key technical skills in areas such as Python, SQL, and machine learning frameworks, while collaborating with cross-functional teams.
7. Colorado State University – Data Science & AI Internship Resources
Location: Various locations in Colorado
Cost/Stipend: Varies by internship (paid and unpaid opportunities available)
Acceptance rate/cohort size: Not specified
Dates: Year-round opportunities
Application Deadline: Rolling
Eligibility: Undergraduate students, typically in data science, computer science, statistics, or related fields
Colorado State University’s Data Science Career Resources platform provides access to a range of internships and research opportunities relevant to data science and artificial intelligence for undergraduates in Colorado. The platform connects students to roles such as machine learning engineers, data analysts, and AI-focused research assistants across industries. Students can explore opportunities through tools like Handshake and gain guidance on preparing for internships and building relevant technical skills. These roles often involve working with large datasets, developing models, and applying computational methods to real-world problems.
8. UCAR/NCAR CISL – Computational & Information Systems Internships
Location: National Center for Atmospheric Research, Boulder, CO
Cost/Stipend: Typically $23.41 for undergraduates and $28.32 for graduate students
Acceptance rate/cohort size: Not specified
Dates: Primarily summer internships; duration varies by project and cohort
Application Deadline: January 20 (typically falls in late winter or early spring)
Eligibility: Undergraduate students (sophomore year or above) in computer science, data science, engineering, or related fields
The CISL internships at NCAR (often offered through the SIParCS program) provide undergraduate students in Colorado with hands-on experience in computational science, data analysis, and AI-driven research. You will work on real-world projects that support climate science, atmospheric research, and large-scale data systems, often involving machine learning techniques, high-performance computing, and scientific modeling. Participants collaborate with scientists, engineers, and research staff, gaining exposure to how AI and advanced computing are applied to complex environmental challenges.
9. AMD Internship & Co-Op Program
Location: Multiple locations across the globe
Cost/Stipend: Stipend varies depending on the internship
Acceptance rate/cohort size: Selective
Dates: Year-round opportunities
Application Deadline: Varies depending on the internship
Eligibility: Undergraduate students; check individual job posting for internship-specific prerequisites
AMD’s Internship & Co-Op Program gives students the chance to work on engineering and research projects in areas like semiconductors, artificial intelligence, and computing systems. You’ll collaborate with engineers on tasks such as chip design, software development, and machine learning applications tied to real products. The program focuses on hands-on experience, helping you apply academic knowledge to practical challenges. Alongside mentorship, you’ll participate in volunteer initiatives, social events, leadership interactions, and team-based projects, and connect with employee resource groups and professionals across the company.
10. IBM Internships
Location: Multiple locations across the globe
Cost/Stipend: Stipend varies depending on the internship
Acceptance rate/cohort size: Selective
Dates: Year-round opportunities
Application Deadline: Varies depending on the internship
Eligibility: Undergraduate students; check individual job posting for internship-specific prerequisites
IBM’s internship program provides opportunities to contribute to projects in fields such as AI, cloud computing, data analytics, and quantum technology. You’ll work with IBM engineers, researchers, and consultants to help build solutions used by clients worldwide. The program emphasizes learning through hands-on work, access to IBM’s training resources, and participation in initiatives like Call for Code. You can explore roles across software development, research, design, consulting, and product teams. With structured mentorship and interaction with IBM’s global workforce, you’ll gain a deeper understanding of how large technology organizations operate.
11. NASA’s OSTEM Internships
Location: NASA centers and facilities across the U.S.
Cost/Stipend: Stipend varies depending on the internship
Acceptance rate/cohort size: Selective
Dates: Year-round opportunities
Application Deadline: May 22 (fall session)
Eligibility: College students who are at least 16 years old; must be U.S. citizens; required minimum GPA is 3.0 out of 4.0
NASA’s OSTEM Internship Program allows you to work with NASA teams on active projects in areas such as artificial intelligence, machine learning, robotics, and aerospace data analysis. You may collaborate with scientists, engineers, and project managers on initiatives involving autonomous systems, AI-driven mission planning, or space and aeronautics research. The program focuses on hands-on technical experience and mentorship, helping you understand how large-scale research and engineering projects are executed within a federal agency. You’ll also gain exposure to NASA tools, workflows, and research practices, with opportunities to present your work. Internships are offered in multiple sessions throughout the year across various NASA centers in the U.S.
12. The Air Force Research Laboratory (AFRL) Scholars Program
Location: AFRL labs across the U.S.
Cost/Stipend: Stipend varies depending on the internship location and education level
Acceptance rate/cohort size: Selective
Dates: Year-round opportunities
Application Deadline: Varies based on the internship
Eligibility: Open to undergraduate students with good academic standing; minimum GPA of 3.0 out of 4.0 is highly preferred; must be U.S. citizens at least 16 years old (at least 18 years for the California location)
The AFRL Scholars Program is a paid research internship that places undergraduate students in Air Force Research Laboratory labs to work on applied science and engineering projects. You’ll collaborate with scientists and engineers on topics such as artificial intelligence, machine learning, reinforcement learning, computer vision, and physics-informed models. Your work may include developing algorithms, building simulations, processing data, and evaluating model performance. Each intern is guided by a technical mentor and works within a defined research area aligned with national priorities. The program often concludes with a written report and a formal presentation of your findings.
13. JPMorgan Chase – Data Analytics & AI Internship
Location: Multiple locations across the globe
Cost/Stipend: Paid
Acceptance rate/cohort size: Selective
Dates: Typically 10–12 weeks (summer internships)
Application Deadline: Varies by program
Eligibility: Undergraduate students in computer science, data science, statistics, engineering, or related fields
JPMorgan Chase offers a range of data analytics and AI-related internship opportunities through its student programs, designed for undergraduates interested in data-driven roles within finance and technology. You may work on projects involving data analysis, machine learning models, and large-scale data systems that support business decision-making and product development. These roles often provide exposure to real-world datasets, allowing students to apply statistical methods and computational tools in a corporate environment. Participants collaborate with cross-functional teams, gaining insights into how AI and analytics are integrated into financial services and operations.
14. NVIDIA Internships
Location: Multiple locations
Cost/Stipend: Paid
Acceptance rate/cohort size: Selective
Dates: Year-round opportunities
Application Deadline: Rolling
Eligibility: Undergraduate, graduate, and PhD students in fields such as computer science, engineering, optics, AI, and related disciplines
The NVIDIA internships place undergraduates at the forefront of AI, machine learning, computer vision, and advanced computing research. As an intern, you’ll work alongside engineers and researchers on projects spanning deep learning, graphics, autonomous systems, and hardware-software innovation. Treated as a core member of the team, you’ll gain hands-on experience with emerging technologies over a minimum 12-week period. The program offers strong mentorship and opportunities to present or publish your work, and it often serves as a direct pathway to full-time roles, making it a highly competitive and career-shaping experience.
15. Meta Internships
Location: Multiple locations
Cost/Stipend: Paid
Acceptance rate/cohort size: Selective
Dates: Summer and year-round opportunities, depending on role (typically 12 weeks)
Application Deadline: Rolling; check Meta’s careers page for current openings
Eligibility: Undergraduate, graduate, and PhD students in fields such as computer science, engineering, optics, AI, and related disciplines
Meta internships offer the opportunity to contribute to impactful projects in areas like artificial intelligence, machine learning, optics, and large-scale connectivity technologies. From the start, you’ll be paired with mentors and integrated into Meta’s research and engineering ecosystem. The program focuses on both technical development and professional growth, with added support through housing, networking events, and learning sessions. As an intern, you’ll work on real-world challenges that support Meta’s mission of building global connections, while gaining experience and relationships that can shape your future career.