Engineering -AI Content Development – Summer Internship 2026

Location:

Michigan City, Indiana, United States

Job ID:

R0120064

Date Posted:

2026-02-10

Company Name:

HITACHI GLOBAL AIR POWER US, LLC

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

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.

Key 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.

Learning Outcomes

By the end of the internship, the student will gain:

• Practical experience using AI responsibly within an engineering/PLM enterprise environment.
• Insight into engineering processes, PLM workflows, standards, and documentation practices.
• Exposure to real-world constraints on AI (accuracy limits, validation needs, governance).
• Hands-on practice improving training systems and knowledge-sharing capabilities.
• Professional development through mentorship, cross-functional collaboration, and structured project work.

Required Skills & Competencies

Technical Skills

• 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.
• (Preferred) Exposure to Copilot, OpenAI, Python, or basic ML concepts.
   

Soft Skills

• Strong analytical and critical-thinking abilities.
• Clear written communication skills.
• Collaboration and willingness to incorporate feedback.
• Curiosity, initiative, and eagerness to learn

Education Requirements

• Bachelor’s degree in Progress - Computer Science, Information Systems, Artificial Intelligence, or related field.
• Preferred standing: 3rd or 4th year undergraduate students.

Internship Program Criteria

• 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.

Compensation

• Hourly rate: $20–$25, depending on education level and skill set.

The successful candidate is responsible for complying with Hitachi Global Air Power US Code of Ethics and related policies. In performing the job, the incumbent shall take all steps necessary to comply with our safety rules and requirements and must actively support the organization's efforts to meet and exceed its goals of creating and maintaining a safe workplace.

This description is to serve as a guide. It is intended to be flexible and will continue to evolve over time with business needs and demands and may be updated periodically and at the Company's discretion.

Hitachi Global Air Power US is an equal opportunity employer and will not discriminate based on race, religion, color, age, gender, sexual orientation, national origin, genetic information, veteran status, physical or mental disability, or other protected categories under applicable law, whether in recruitment, employment, promotion, transfer, compensation, or other conditions of employment.