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Internship Ai Tester Jobs (NOW HIRING)

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

Implement testing strategies for AI behavior including prompt evaluation, regression testing ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

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How much do internship ai tester jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for internship ai tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

What is an internship AI tester?

An Internship AI Tester is a temporary, entry-level position where individuals assist in evaluating and validating artificial intelligence (AI) systems and applications. Their tasks typically involve designing and executing test cases, identifying bugs or issues, and working closely with developers and AI engineers to improve system performance. Interns in this role gain hands-on experience with machine learning models, data analysis, and software testing methodologies. This internship is ideal for students or recent graduates interested in AI, software quality assurance, or related fields.

What types of projects and tasks can I expect to work on as an internship AI tester?

As an Internship AI Tester, you'll typically be involved in testing and evaluating AI-driven software, such as chatbots, recommendation engines, or computer vision applications. Your daily tasks may include writing and executing test cases, reporting bugs, analyzing AI output for accuracy and fairness, and collaborating closely with developers and data scientists to improve product quality. You may also use various testing tools and participate in team meetings to discuss findings and suggest enhancements. This role provides a hands-on opportunity to learn about AI technologies and quality assurance best practices in a collaborative, fast-paced setting.

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

To thrive as an Internship AI Tester, you need a basic understanding of software testing principles, familiarity with AI concepts, and enrollment in or completion of coursework in computer science or a related field. Experience with testing tools like Selenium, Jupyter Notebooks, version control systems (e.g., Git), and knowledge of programming languages such as Python are typically required. Attention to detail, analytical thinking, and effective communication are valuable soft skills that help you identify bugs and collaborate with development teams. These skills are crucial for ensuring AI systems function as intended and deliver reliable results in real-world applications.

What is the difference between Internship Ai Tester vs AI Quality Assurance Tester?

AspectInternship Ai TesterAI Quality Assurance Tester
Required CredentialsEnrolled in or recent graduate of relevant field (e.g., computer science, AI)Experience with AI systems, testing, and quality assurance certifications
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time or part-time role, focused on testing AI models and systems
Employer & Industry UsageTech companies, startups, research labsTech firms, AI development companies, software testing firms

The main difference is that an Internship Ai Tester is typically an entry-level, learning-focused position for students or recent graduates, while an AI Quality Assurance Tester is a more experienced role responsible for ensuring AI system quality and performance. Interns gain foundational experience, whereas QA testers perform ongoing testing and validation tasks in professional settings.

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Internship Ai Tester jobs near you
Infographic showing various Internship Ai Tester job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.

Skillbridge Internship- AI Software Engineer (Remote)

Knexus Research Corporation

Vienna, VA

Full-time

Re-posted 27 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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