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How much do internship ai programmer jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship ai programmer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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

To succeed as an Internship AI Programmer, you need a solid grasp of programming languages such as Python or Java, basic knowledge of machine learning concepts, and enrollment in or completion of a related degree (e.g., computer science, data science). Familiarity with frameworks like TensorFlow or PyTorch and version control systems such as Git is highly valuable. Curiosity, problem-solving ability, and willingness to learn help interns adapt quickly and contribute effectively in fast-paced environments. These skills and qualities ensure interns can support real-world AI projects, grow their expertise, and add value to their teams.

What types of projects and tasks can an AI Programmer Intern expect to work on during their internship?

As an AI Programmer Intern, you can expect to contribute to a variety of projects, ranging from building and testing machine learning models to supporting data preprocessing and algorithm optimization. Interns often assist with coding in languages like Python or C++, analyzing datasets, and collaborating with senior engineers to integrate AI features into applications. The role typically involves regular meetings with cross-functional teams, which helps interns gain exposure to the broader development process and learn best practices in AI programming. This hands-on experience is invaluable for building technical skills and understanding real-world AI development cycles.

What does an AI Programmer Intern do?

An AI Programmer Intern assists in developing, testing, and optimizing artificial intelligence algorithms and systems, often under the guidance of experienced engineers. Their tasks may include coding machine learning models, managing data sets, and helping integrate AI features into software products. This role provides hands-on experience in areas such as deep learning, natural language processing, or computer vision. Interns also collaborate with teams to solve real-world problems using AI and gain exposure to the latest technologies in the field.

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

AspectInternship Ai ProgrammerData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, SQL, Excel, statistical skills
Work EnvironmentTech companies, AI research labs, startupsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Programmers focus on developing AI models and algorithms, requiring programming and machine learning skills. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and data management skills. Both roles are common in tech-driven industries but serve different functions within data and AI projects.

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Internship Ai Programmer jobs near you
Infographic showing various Internship Ai Programmer job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 28% Physical, 7% Hybrid, and 65% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Summer Internship: AI & Operations Automation

Summer Internship: AI & Operations Automation

OSI VISION LLC

San Antonio, TX

Other

Posted 4 days ago

Job description

Internship Overview: We are seeking a motivated AI & Operations Automation Intern to support the Innovation, Digital Transformation & Growth (IDTG) team. This internship offers hands-on experience with modern AI tools, automation platforms, and digital transformation practices. The successful candidate will contribute to corporate AI implementation, process automation initiatives, and technology research to produce meaningful deliverables.

Key Responsibilities:

  • AI Implementation Support: Assist in maintaining the enterprise AI use case catalog and supporting the AI Communication Platform in Teams and SharePoint.
  • Process Automation: Support the design and development of Power Automate workflows and automated pipelines to streamline operations.
  • AI Solution Development: Participate in the creation and testing of CustomGPTs, Gems, and Copilot Studio-based solutions.
  • Technology Research: Conduct technology landscape research and analyze emerging AI and digital transformation tools to provide recommendations for leadership.
  • Program Support: Assist with documentation, tracking, and reporting across IDTG initiatives, including preparing weekly activity reports and slide decks.
  • Internal Communication: Contribute to internal AI awareness efforts and documentation.

Qualifications:

  • Education: Junior or senior undergraduate student, or recent graduate, in Computer Science, IT, Business Information Systems, or a related field.
  • Technical Skills: Familiarity with the Microsoft 365 ecosystem (Teams and SharePoint).
  • Soft Skills: Strong writing, research, and analytical skills with the ability to learn quickly.
  • Communication: Ability to interpret technical information and communicate it clearly to non-technical audiences.
  • Preferred Experience: Exposure to prompt engineering, AI tools, Power Automate, or Copilot Studio. 

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