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Internship Ai Jobs in Springfield, VA (NOW HIRING)

GDIT

GDIT 2027 Summer AI / ML Internship

Falls Church, VA · Hybrid

$22.95 - $31.05/hr

Ability to work with AI Software Tools GDIT interns are paid and full-time (40 hours/week) for 10 consecutive Applicants should have a minimum of one semester remaining in their studies after their ...

Digital Infuzion

Internship Opportunities

Rockville, MD · On-site

AI Innovation Challenge: Each summer culminates in a cross-disciplinary AI Innovation Challenge, where interns team up to solve a real-world health IT problem. * Networking: Build lasting connections ...

J Street

AI & Cybersecurity Intern

Washington, DC

$19/hr

This internship is an excellent opportunity to be involved with J Street's work in Washington, DC ... AI & Automation Exposure * Support early-stage AI and automation initiatives, including helping ...

J Street

AI & Cybersecurity Intern

Washington, DC · On-site

$19/hr

This internship is an excellent opportunity to be involved with J Street's work in Washington, DC ... AI & Automation Exposure * Support early-stage AI and automation initiatives, including helping ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

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How much do internship ai jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for internship ai in Springfield, VA is $26.55, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $30.14 per hour, depending on experience, location, and employer.

What is an AI internship?

AI internships are temporary positions for students or recent graduates to gain practical experience working with artificial intelligence technologies. Interns typically assist with tasks such as data analysis, model development, machine learning, and research under the guidance of experienced AI professionals. These opportunities help interns build technical skills, expand their professional network, and gain insights into real-world AI applications, which can be valuable for future careers in the field.

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

To thrive as an AI Intern, you typically need a solid understanding of programming (Python, Java, or C++), foundational knowledge in machine learning concepts, and a relevant academic background in computer science or a related field. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills set exceptional candidates apart. These competencies are crucial for successfully contributing to AI projects, learning quickly, and collaborating within dynamic technical teams.

What types of projects do interns typically work on during an AI internship?

AI interns are usually involved in hands-on projects that support ongoing machine learning, data analysis, or software development initiatives. Depending on the organization, you may work on tasks such as building data pipelines, developing or testing models, cleaning datasets, or supporting research experiments. Collaboration is often key, as interns work closely with experienced engineers, data scientists, and sometimes even product teams to contribute to real-world applications. These projects help interns gain practical experience and build a portfolio of work that demonstrates their skills.
What are the most commonly searched types of Ai jobs in Springfield, VA? The most popular types of Ai jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Internship Ai jobs? Cities near Springfield, VA with the most Internship Ai job openings:
Internship Ai jobs near you
Infographic showing various Internship Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 40% Internship, 30% Full Time, and 30% Part Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $55,221 per year, or $26.5 per hour.

Skillbridge Internship- AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA

Full-time

Re-posted 2 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

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