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Internship Ai Tester Jobs (NOW HIRING)

Fortinet

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunchandlearn sessions with internal ...

Fortinet, Inc.

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunchandlearn sessions with internal ...

Fortinet, Inc.

AI Intern

Sunnyvale, CA · On-site

$40 - $60/hr

Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunch-and-learn sessions with internal ...

Marmon

AI Project Management Intern

Chicago, IL · On-site

$30K - $36K/yr

This internship is designed for a student who is currently attending school and interested in ... Testing & User Feedback: Support user acceptance testing, prompt or workflow validation, issue ...

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Internship Ai Tester information

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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.

AI Intern

Fortinet

Sunnyvale, CA • On-site

$40 - $60/hr

Full-time

Re-posted 15 days ago

Job description

The AI Intern will support  teams with a primary focus on organization, AI workflow development: Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunchandlearn sessions with internal stakeholders, participate in networking activities, and contribute to project showcases that highlight your work.

Key Responsibilities

  • AI workflow development: Creating, testing, and iterating on AI-powered automations and agents.
  • Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor infrastructure performance, detect anomalies, and reduce alert fatigue.
  • Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data to train or refine AI models.
  • Documentation and process improvement: Mapping existing manual workflows, documenting new AI processes, and updating playbooks.
  • Performance evaluation: Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs.

Required Technical Skills

  • Technical Skills: Basic scripting or programming proficiency (Python, JavaScript, Go).
  • AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
  • Tools and Platforms: Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.
  • Soft Skills: Strong problem-solving, attention to detail, proactive "builder" mindset, and the ability to collaborate with cross-functional teams.

Education:

  • Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field.
  • Prior experience with AI projects (personal, academic, or Kaggle competitions).

Wage ranges are based on various factors including the labor market, job type, and job level. Earnings for this position are expected to be $40 - $60/hr. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.

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