Artificial Intelligence (AI), Automation, Business Analysis, Business Operations, Business Processes, Business Solutions, Communication Skills, Computer Science, Data Analysis, Detail Oriented, Documentation, Information Technology & Information Systems, Management of Information Systems/Technology (MIS), Manufacturing, Microsoft Excel, National Electrical Code, Oil and Gas, Operational Improvement, Presentation/Verbal Skills, Process Improvement, Product Demonstration, Python Programming/Scripting Language, Requirements Management, Retail, SQL (Structured Query Language), Support Documentation, Test Case, Test Data, User Interface/Experience (UI/UX), Writing Skills
Overview:
The Tyndale Company is looking for an AI Intern to join the IT department. The AI Intern will support the AI team by assisting with research, documentation, testing, data review, and process improvement related to artificial intelligence initiatives. This role is intended for a student or early-career professional interested in learning how AI can be applied in a business environment. The intern will work with team members to help evaluate AI tools, organize information, document findings, and support projects that improve business operations, decision-making, and user experience.
About Tyndale
The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector – including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We’re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We’re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.
Responsibilities:
- Assist with AI-related projects, research, testing, and documentation.
- Help evaluate AI tools, workflows, and outputs for accuracy, usefulness, and consistency.
- Support the creation and organization of test cases, prompts, reference materials, and project documentation.
- Review business processes and identify opportunities where AI or automation may provide value.
- Collaborate with technical and business team members to gather requirements and feedback.
- Help maintain project trackers, issue logs, research summaries, and status updates.
- Participate in meetings, demos, and working sessions with the AI team and business stakeholders.
- Prepare summaries, presentations, or reports related to assigned work.
- Learn and apply basic concepts related to AI, data, automation, and business systems.
Qualifications:
- Current student pursuing a degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Management Information Systems, or a related field.
- Interest in artificial intelligence, data, technology, and business process improvement.
- Basic understanding of data, software, or business systems.
- Strong written and verbal communication skills.
- Strong attention to detail and willingness to learn.
- Ability to organize information clearly and complete assigned tasks independently.
- Experience with Microsoft Excel, databases, SQL, Python, or AI tools is helpful but not required.
- Prior internship or work experience is helpful but not required.
Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.
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Tyndale
Innovative, service-oriented, and flexible, Tyndale has cultivated the experience and the knowledge necessary to achieve cutting-edge leadership in worker safety apparel.
We offer the best in products and services as part of our deep commitment to worker safety, but we don’t just stop there. Our real passion is people. At Tyndale, you aren’t just another number.
Tyndale’s mission is, “to provide an enjoyable uniform experience by supplying increasingly personalized, coordinated and convenient flame resistant apparel solutions to leading corporations and their employees.”
50 to 99 employees
Clothing and Textile Manufacturing