Engineering -AI Content Development – Summer Internship 2026

HitachiMichigan City, IN
6d$20 - $25Onsite

About The Position

The Company We build the machines that power industry. We are Hitachi Global Air Power, a leading global industrial compressed air manufacturer driving the innovations that keep the world moving. From our headquarters in Michigan City, Indiana, our compressed air solutions power manufacturing operations all around the globe; from food and beverage to life-saving pharmaceuticals and cutting-edge semiconductor chips. Our portable compressors provide the air power to build roads and bridges, lay pipelines and aid in oil and gas mining and production. We are a team of innovators, engineers, and quality experts with a shared vision to create the next generation of efficient, environment-forward compressed air solutions that meet the demands of today, while boldly contributing to a sustainable, circular economy. With more than 60 years of legacy and trusted performance through our brands - Hitachi, Sullair, and Champion (Australia), we are proud of our reputation for reliability, durability, and performance and groundbreaking engineering. Join us in building a future where your work has an impact. At Hitachi Global Air Power, you’ll be part of a global network that’s shaping the future of industrial power. Position Summary The AI Content Development Intern will support the Engineering and PLM teams by applying generative AI tools to enhance the creation, organization, and usability of engineering training content. This role focuses on using AI responsibly to improve documentation workflows, support knowledge-sharing initiatives, and explore proof‑of‑concept capabilities such as an Engineering Knowledge Chatbot trained on SOPs, standards, PLM documents, and training materials. This internship is ideal for students interested in AI, engineering systems, technical communication, and digital transformation in a real‑world industrial environment.

Requirements

  • Generative AI usage for drafting and restructuring content (prompting, iteration).
  • Ability to review and validate AI-generated content for accuracy and completeness.
  • Strong document and information organization skills.
  • Familiarity with Microsoft 365 tools: Teams, SharePoint, Word, PowerPoint.
  • Awareness of responsible AI practices and data confidentiality requirements.
  • Strong analytical and critical-thinking abilities.
  • Clear written communication skills.
  • Collaboration and willingness to incorporate feedback.
  • Curiosity, initiative, and eagerness to learn
  • Bachelor’s degree in Progress - Computer Science, Information Systems, Artificial Intelligence, or related field.
  • Must be a full-time enrolled student pursuing an undergraduate or graduate degree at an accredited U.S. college/university
  • Minimum 2.5 or above GPA preferred
  • Must be able to complete internship from May–August 2026.
  • Must be able to complete 40 hours per week
  • Willingness to learn from others on the job
  • Must be currently residing within the continental U.S.

Nice To Haves

  • Exposure to Copilot, OpenAI, Python, or basic ML concepts.
  • Preferred standing: 3rd or 4th year undergraduate students.

Responsibilities

  • Use generative AI tools (e.g., Copilot, OpenAI platforms) to draft, summarize, refine, and restructure engineering training materials.
  • Organize and convert source documents (SOPs, standards, PLM process instructions) into clear, structured training content.
  • Assist in developing the foundation for an AI-powered engineering knowledge assistant, using curated engineering documents as training inputs.
  • Validate AI-generated outputs for accuracy, clarity, and alignment with existing engineering processes.
  • Work closely with Engineering, PLM, and Process Owners to ensure content correctness and update needed materials.
  • Apply responsible AI practices, adhering to guidelines for confidentiality and internal data handling.
  • Support continuous improvement initiatives related to engineering, knowledge management and training.
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