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Internship Ai Support Jobs in Virginia (NOW HIRING)

Federal AI Solutions Engineer

Mclean, VA · On-site

$85K - $105K/yr

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

Support integration of AI solutions with APIs, enterprise systems, and cloud services. Cloud ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

Support integration of AI solutions with APIs, enterprise systems, and cloud services. Cloud ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...

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Internship Ai Support information

What is an internship AI support?

An Internship AI Support role typically involves assisting teams that develop, deploy, or maintain artificial intelligence systems. Interns in this position may help with data preparation, model testing, documentation, troubleshooting, and supporting users or developers working with AI solutions. This role is designed to give students or recent graduates hands-on experience with AI technologies while providing valuable support to the team. Responsibilities can vary depending on the company, but usually include both technical and communication tasks.

What kind of projects or tasks can I expect to work on during an internship AI support?

As an AI Support Intern, you will typically assist with tasks such as data preparation and cleaning, testing and evaluating AI models, documenting processes, and supporting team members with research or troubleshooting. You may also help respond to user inquiries, monitor AI system performance, and contribute to the development of training materials. These responsibilities offer hands-on experience and exposure to practical aspects of AI deployment, often working closely with data scientists, engineers, and product managers in a collaborative, learning-focused environment.

What are the key skills and qualifications needed to thrive as an internship AI support, and why are they important?

To thrive as an AI Support Intern, you need foundational knowledge in computer science, problem-solving abilities, and familiarity with artificial intelligence concepts, often supported by ongoing or completed coursework in related fields. Proficiency with tools such as Python, machine learning frameworks (like TensorFlow or PyTorch), and ticketing or customer support systems is highly beneficial. Strong communication, willingness to learn, and collaboration skills help interns excel in supporting users and working with technical teams. These skills ensure effective troubleshooting, contribute to smooth AI operations, and foster professional growth within a dynamic tech environment.

What is the difference between Internship Ai Support vs Data Analyst Intern?

AspectInternship Ai SupportData Analyst Intern
Required CredentialsBasic understanding of AI tools, programming basicsBasic statistics, Excel, data visualization
Work EnvironmentTech companies, AI startups, R&D teamsBusiness, finance, marketing departments
Employer & Industry UsageAI development, tech firms, research labsCorporate, consulting, market research

Internship Ai Support and Data Analyst Intern roles often share foundational skills like data handling and basic technical knowledge. However, Ai Support internships focus more on assisting with AI tools and support tasks, while Data Analyst Internships emphasize data analysis and reporting. Both roles serve different industry needs but can overlap in technical skills and work environments.

What are the most commonly searched types of Ai Support jobs in Virginia?

The most popular types of Ai Support jobs in Virginia are:

What cities in Virginia are hiring for Internship Ai Support jobs?

Cities in Virginia with the most Internship Ai Support job openings:

Infographic showing various Internship Ai Support job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Skillbridge Internship- AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA • On-site

Full-time

Re-posted 26 days ago


Job description

About Knexus

Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!

Position Overview

During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.

Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.

Key Responsibilities
  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.
Qualifications and Experience
  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.

  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA