15 AI Internships for Undergraduates in Arkansas
If you’re an undergraduate student interested in Artificial Intelligence, internships can be especially valuable as they can help you understand how concepts like machine learning, data analysis, and automation are applied in industry settings. Exploring AI internships for undergraduates in Arkansas can help you find opportunities that align with your interests while staying connected to local or regional organizations.
Check out other AI internships available for undergraduates here. For other Arkansas-based internships, find a list of STEM-based ones here.
Why should I do an Artificial Intelligence internship in college?
Pursuing an Artificial Intelligence internship during college can significantly improve your employability by giving you direct experience in a fast-growing field. You get the chance to work on real datasets, experiment with algorithms, and understand how AI solutions are built and deployed. Many internships also provide mentorship from professionals, which can help you refine your career interests and technical strengths. These experiences not only make your resume stronger but also give you concrete examples to discuss in interviews.
To make your search easier, we’ve curated a list of 15 AI Internships for Undergraduates in Arkansas.
1. Automation Engineer Intern – Walmart Supply Chain Automation
Location: Walmart, Bentonville, Arkansas
Cost/Stipend: $19–$35 per hour
Acceptance rate/cohort size: Not specified
Dates: 11 weeks (Summer)
Application Deadline: Not specified
Eligibility: Undergraduate or Master’s students in engineering, AI, supply chain, or related fields
In this internship, you will work on automation projects within Walmart’s supply chain, focusing on improving efficiency across areas like distribution, fulfillment, and transportation. You’ll contribute to designing and implementing engineered solutions while using analytical approaches to identify and improve processes. Throughout the program, you will collaborate with cross-functional teams, gaining exposure to large-scale operations and how automation technologies are applied in real-world settings. You may also conduct industry research, support proof-of-concept testing, and help develop business cases or presentations for leadership. The internship includes structured learning opportunities such as executive sessions, networking events, and community outreach activities.
2. Ladder Internship Program
Location: Remote
Cost/Stipend: Starting at $2,490 (financial aid available)
Acceptance rate/cohort size: Selective
Dates: Multiple cohorts across Spring, Summer, Fall, and Winter
Application Deadline: Varies by cohort
Eligibility: You can apply if you are a high school student, undergraduate, or gap year student who can commit 10–20 hours per week for 8–12 weeks.
In this program, you are matched with a high-growth startup and work on real-world projects across fields such as AI/ML, data science, or product development. Your responsibilities may include conducting research, supporting product or business initiatives, or contributing to technical tasks, depending on the startup’s needs. You work closely with a startup manager and also receive mentorship from a Ladder Coach, who provides structured guidance and feedback throughout the internship. The program includes regular check-ins and concludes with a final presentation where you share your work and outcomes with the company. This setup allows you to experience how startups operate while building practical skills in a remote, collaborative environment. The relatively short duration also makes it easier to explore different domains without a long-term commitment.
3. AI Intern – Bert Black Service Companies
Location: Bert Black Service Companies, Little Rock, Arkansas
Cost/Stipend: $11 per hour
Acceptance rate/cohort size: Not specified
Dates: Not specified (part-time; hybrid format)
Application Deadline: Not specified
Eligibility: Undergraduate students or recent graduates in computer science, data science, engineering, or business analytics; familiarity with Python, SQL, and AI tools preferred
In this internship, you will take on a self-driven role focused on applying AI to practical business challenges. You’ll work on projects such as building AI-powered tools for sales and customer service, developing predictive models for maintenance and inventory, and analyzing operational data for insights. The role involves experimenting with early-stage ideas, prototyping solutions, and connecting data systems using APIs and cloud-based AI services. You’ll collaborate with both technical and non-technical teams, gaining experience in translating business needs into AI-driven solutions. Throughout the internship, you will receive mentorship from leadership while maintaining ownership of your projects.
4. Continuous Improvement & AI Intern – Dassault Falcon Jet
Location: Dassault Falcon Jet, Little Rock, Arkansas
Cost/Stipend: $20 per hour
Acceptance rate/cohort size: Not specified
Dates: Summer (exact duration not specified)
Application Deadline: Not specified
Eligibility: Undergraduate students (preferably in computer science or related fields); must be enrolled in an accredited institution
In this internship, you’ll work within the engineering department to identify opportunities where AI and automation can improve existing processes. Your responsibilities include analyzing reports, checklists, and engineering metrics to find areas that can be streamlined or enhanced using software tools and AI techniques. You’ll conduct research, test new ideas, and collaborate with different engineering teams to understand workflow challenges and propose solutions. The role also involves building automated systems for generating reports or improving data accuracy using inputs from users. Throughout the internship, you can develop skills in data analysis, process optimization, and applied AI in an industrial setting.
5. Graduate Research Assistant (ML/AI & Developer), COSMOS Research Center – UA Little Rock
Location: Little Rock, AR
Cost/Stipend: $1,650–$1,800/month + tuition support and health insurance assistance
Acceptance rate/cohort size: Not specified
Dates: Academic year-based (Fall and Spring terms)
Application Deadline: Not specified
Eligibility: You should have a bachelor’s degree and be enrolled in or admitted to a graduate program in Computer Science, Information Science, or a related field, with experience in programming and data-related work preferred.
In this assistantship, you will work closely with a research team to apply machine learning and AI techniques to analyze social media data, including text, multimedia, and network interactions. Your work may involve building predictive models, conducting content and network analysis, and identifying patterns in socio-technical behaviors. You will also contribute to tasks like data collection, preprocessing, and presenting findings through reports or conferences, which helps you develop both technical and communication skills. If you are in the developer track, you focus on translating research models into usable software tools, gaining exposure to full-stack development and system design. The role includes collaboration with faculty and researchers, giving you insight into academic research workflows and interdisciplinary problem-solving. This experience also provides opportunities to work with tools like Python, TensorFlow, and graph libraries while engaging in real-world AI research applications.
6. Vector Applied AI Internships
Location: Remote, hybrid, or in-person depending on the project)
Cost/Stipend: Paid ($25/hour)
Acceptance rate/cohort size: Not specified (selective)
Dates: Fall, Winter, and Summer terms (16–32 weeks)
Application Deadline: Varies by term (Fall: Late May, Winter: Late September, Summer: Late January)
Eligibility: You can apply if you are a second-year or higher student at a Canadian college or university, studying in a STEM or related field; preference may be given to Black and Indigenous students as part of a diversity initiative.
In this program, you will work on applied AI projects alongside researchers, industry professionals, and healthcare partners, focusing on real-world implementation of machine learning systems. Depending on your role, you may contribute to building scalable ML solutions, supporting AI program delivery, or working on health-focused AI initiatives. You will collaborate with cross-functional teams and gain exposure to how AI projects move from research to deployment, which helps you understand both technical and operational aspects. The internship also includes mentorship through the IMPACT Mentorship Program, where you are paired with an industry expert for guidance and career insights. You may participate in research discussions, professional development sessions, and project presentations, allowing you to refine both technical and communication skills. The mix of applied work and mentorship provides a structured environment to explore different areas within AI without focusing on just one specialization.
7. Launch@Apple, Finance Development Experience (FDE)
Location: Santa Clara, CA (Home Office eligible)
Cost/Stipend: $28.31–$41.15/hour
Acceptance rate/cohort size: Not specified
Dates: January–April (virtual sessions) + July–August (full-time experience)
Application Deadline: Rolling
Eligibility: You can apply if you are pursuing a Bachelor’s degree in Finance, Business, Economics, Data Analytics, or a related field, with a graduation timeline around late 2028 to early 2029.
In this program, you will begin with structured virtual cohort sessions that introduce you to corporate finance concepts and help you build foundational professional skills. You will be paired with a mentor, allowing you to receive ongoing guidance, feedback, and exposure to career paths within finance. During the summer experience, you’ll work on projects across different business units, where you may analyze financial data, identify trends, and support reporting processes using tools like Excel or Tableau. You will also collaborate with cross-functional teams to understand business performance and contribute to operational insights. The program provides exposure to different domains, helping you explore where your interests align within corporate finance.
8. Intern, Robotics Software Engineer – ArcBest Technologies
Location: Fort Smith, Arkansas
Cost/Stipend: Paid (hourly; varies)
Acceptance rate/cohort size: Not specified
Dates: Summer (starting around early June)
Application Deadline: Not specified
Eligibility: Undergraduate or graduate students pursuing Computer Science, Electrical/Mechanical/Aerospace Engineering, or related fields, with experience in Python/C++ and familiarity with robotics/AI concepts
In this internship, you will work on research and development projects focused on autonomous systems and robotics software. You will contribute to building and testing software modules for applications like computer vision, object recognition, and path planning, while also gaining exposure to tools such as ROS, OpenCV, and Gazebo. The role involves collaborating with a technical team to solve real-world engineering problems and participating in the design and maintenance of system architecture. You may also take ownership of a research project, allowing you to explore a specific robotics challenge from concept to prototype. Along the way, you can expect to develop skills in working with Linux-based environments, managing priorities, and adapting to evolving project requirements.
9. Software QA Intern – Vista Robotics
Location: Little Rock, Arkansas
Cost/Stipend: ~$17/hour (estimated)
Acceptance rate/cohort size: Not specified
Dates: Not specified
Application Deadline: Not specified
Eligibility: Students with a basic understanding of the software development lifecycle and testing methodologies; familiarity with bug tracking tools and interest in QA or software engineering
In this internship, you will focus on ensuring the quality and reliability of software products by actively participating in testing and debugging processes. You’ll execute test cases, analyze outcomes, and identify defects, while collaborating closely with developers to resolve issues and improve overall performance. The role also involves regression testing, documenting test procedures, and contributing to test planning and strategy discussions. As you work through different stages of the software development lifecycle, you will gain practical exposure to quality assurance practices and tools used in real-world engineering teams. You are expected to take initiative in improving QA processes and stay updated with industry standards in software testing.
10. Research Scientist Intern – Whiterabbit.ai
Location: Fayetteville, Arkansas
Cost/Stipend: Not specified
Acceptance rate/cohort size: Not specified
Dates: Not specified
Application Deadline: Not specified
Eligibility: Students with experience in deep learning, machine learning, and Python; familiarity with convolutional neural networks and research-based work preferred
In this internship, you will work on advancing AI models in the healthcare space, particularly in medical imaging and early cancer detection. You will contribute to designing and developing scalable classifiers and detection systems while working with large datasets and high-performance computing infrastructure. The role involves engaging with research literature, experimenting with deep learning models, and applying computer vision techniques to real-world medical problems. You may also collaborate with healthcare professionals to better understand domain-specific challenges and translate them into technical solutions. There is an opportunity to participate in ongoing research efforts, including potential contributions to academic publications and collaborations with universities.
11. Danaher Software Engineering Internship
Location: Hot Springs, Arkansas
Cost/Stipend: $39/hour
Acceptance rate/cohort size: Not specified
Dates: Not specified
Application Deadline: Not specified (interest-based; roles shared when openings become available)
Eligibility: Undergraduate students pursuing Computer Science, Software Engineering, Biomedical Engineering (computational focus), or related fields; typically students with 3+ years of coursework completed
In this internship, you work alongside engineering teams on developing and maintaining software used in healthcare and diagnostic tools. Your tasks may include writing and debugging code in languages such as C++, Java, Python, or C#, as well as supporting the development of embedded and console-based systems. You participate in Agile Scrum teams, collaborating with designers, developers, and testers to contribute to real product features. The role also involves troubleshooting issues, conducting code reviews, and documenting processes, particularly in contexts where regulatory standards are important. Through this experience, you gain exposure to software development lifecycles, version control systems, and cross-functional teamwork. While specific openings may vary, the internship reflects the type of work you can expect when roles become available.
12. Cleanlab AI Internship
Location: San Francisco, California, or Remote
Cost/Stipend: $30–$50/hr
Acceptance rate/cohort size: Selective (small cohort; exact size not specified)
Dates: Fall, Spring, and Summer terms
Application Deadline: Not specified (rolling based on openings)
Eligibility: Undergraduate (junior year or above) and graduate students with strong backgrounds in Machine Learning, Data Science, or related fields
In this internship, you will work on applied machine learning and data science projects, often taking ownership of independent, high-impact tasks. You are expected to contribute to real-world AI problems, which may involve building models, analyzing datasets, and creating visualizations to communicate insights. The role requires strong programming skills in Python and experience with collaborative development tools such as GitHub and CI/CD workflows. You may work remotely or from the San Francisco office, collaborating with a small team while managing your own project deliverables. Interns are encouraged to showcase their prior work, such as GitHub projects or research, and apply those skills in practical scenarios. The experience focuses on applying technical knowledge to solve data quality and reliability challenges in AI systems.
13. Remote AI Internships (Capital Placement Program)
Location: Remote
Cost/Stipend: Program fee: £1,550; stipend: £300–£500/month (varies by placement)
Acceptance rate/cohort size: Not specified
Dates: Multiple start dates throughout the year (e.g., May–August cohorts)
Application Deadline: Rolling deadlines based on cohort availability
Eligibility: Not explicitly specified; typically open to students and recent graduates with an interest in AI, data science, or related fields
In this program, you are placed in a remote AI internship with a host company, where you will work on projects related to machine learning, data science, or AI research. Depending on your role, your tasks may include building and testing models, analyzing datasets, evaluating AI techniques, or supporting deployment workflows. You will work in a professional setting with international teams, contributing to ongoing projects while developing technical and analytical skills. The internship structure typically runs for 3–6 months, with options for full-time or part-time participation. You also engage in documenting your work, reporting findings, and collaborating with team members across functions.
14. CHIP AI Internship (Computational Health Informatics Program)
Location: Boston, Massachusetts (in-person, hybrid, or remote options available)
Cost/Stipend: Paid or course/thesis credit option (stipend not specified)
Acceptance rate/cohort size: Not specified
Dates: June 8 – August 14
Application Deadline: February 9
Eligibility: Current undergraduate and graduate students in the U.S. with strong quantitative and programming skills (e.g., Python, R, Stata) and an interest in AI in healthcare
In this internship, you will engage in faculty-mentored research focused on applying machine learning and artificial intelligence to challenges in healthcare and public health. Your work may involve analyzing large-scale healthcare datasets, developing models for clinical decision-making, or exploring AI-driven approaches for disease surveillance. You will participate in weekly seminars, journal clubs, and didactic sessions that complement your research experience. The program emphasizes independent work as well as collaboration with research teams, allowing you to contribute to ongoing projects while building technical and analytical skills. You may also be involved in interpreting data, preparing findings, and engaging in academic discussions around your work. The structure combines hands-on research with exposure to current developments in biomedical AI.
15. CHAI Internship (Center for Human-Compatible AI)
Location: Berkeley, California (in-person preferred; remote possible)
Cost/Stipend: $5,000/month (in-person), $3,500/month (remote)
Acceptance rate/cohort size: Not specified
Dates: Flexible (typically summer); duration 12–16 weeks
Application Deadline: Not specified
Eligibility: Undergraduate, Master’s, and PhD students, as well as professionals with backgrounds in machine learning, computer science, mathematics, or related fields
In this internship, you will work on a research project in human-compatible AI under the guidance of a mentor, with a focus on topics such as AI alignment, safety, and interpretability. Most projects are independently executed by you, while your mentor provides direction and feedback, allowing you to develop research skills and technical depth. Some projects may be collaborative, giving you the chance to work with other interns or researchers on shared problems. You are encouraged to participate in seminars, workshops, and discussions, which expose you to ongoing research in the field. The work often leads to publications, such as workshop or conference papers, depending on the project scope. Throughout the internship, you will engage with both theoretical and applied aspects of machine learning research while contributing to ongoing academic work.