Summer Intern, Learning & Development
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Job Description
Summer Intern supporting learning and development projects at Net at Work. Assisting with data cleanup, Microsoft Teams training, and AI research.
Responsibilities:
- Assist with data cleanup, organization, validation, and basic analysis.
- Review files, reports, spreadsheets, or system information to identify inconsistencies or opportunities for improvement.
- Help create simple documentation, job aids, or training materials related to Microsoft Teams features and best practices.
- Support training or communication efforts to help employees better understand and use Microsoft Teams.
- Research AI tools, trends, and practical business use cases.
- Assist with AI testing, including documenting results, observations, risks, and recommendations.
- Help organize AI use cases for review by leadership.
- Support basic project coordination, including tracking tasks, updating status documents, and preparing summaries.
- Work with the People and Learning team on other learning, communication, or process improvement projects as needed.
Requirements:
- Strong organizational skills and attention to detail.
- Comfort working with Microsoft Office tools, especially Excel, Word, PowerPoint, and Teams.
- Interest in technology, AI, data, learning, or business operations.
- Ability to research, summarize findings, and communicate clearly.
- Willingness to learn new systems and tools.
- Good judgment when working with company information.
- Ability to work independently while also asking questions when needed.
- A positive, professional, and collaborative approach.
- Current college student or recent graduate preferred.
- Coursework or interest in business, technology, data analytics, computer science, communications, human resources, learning and development, or a related field is helpful but not required.
- Experience using Microsoft Teams, Excel, SharePoint, or other collaboration tools.
- Interest in artificial intelligence and how AI can be used responsibly in business.
- Prior internship, work, volunteer, or school project experience involving research, data organization, technology, or process improvement.
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