Learning & Development Intern

Learning Intern (12-Week Internship, Summer 2027)

As a Learning Intern on the Coinbase Learning team within the People organization, you will help design, deliver, and improve programs that unlock growth for every Coinbase employee. You will build AI-powered learning content, coordinate high-impact programs, and use data to drive measurable improvements across your learning portfolio—working at the intersection of instructional design and emerging AI capabilities.

What You’ll Do

• Build and iterate learning content (presentations, guides, videos, and Confluence pages) using AI tools to accelerate development cycles and improve content quality.
• Coordinate and produce instructor-led learning sessions and L&D offsites from scheduling through day-of execution, managing logistics and audience engagement.
• Prototype AI-assisted learning experiences such as adaptive practice exercises, AI-generated scenario simulations, or on-demand skill-building resources.
• Analyze program evaluation and engagement data using AI-assisted methods to surface insights and recommend improvements to learning experiences.
• Maintain accurate program documentation and communication channels, ensuring employees can easily discover and access learning opportunities.

Required Skills and Experience

• Currently pursuing a degree or certificate in adult education, HR, organizational psychology, instructional design, or a related field.
• Demonstrated proficiency in Google Workspace (Slides, Sheets, Docs), including experience building polished slide decks and written materials.
• Prior experience in an administrative, coordination, or operations role where you managed multiple concurrent tasks with competing deadlines.
• Hands-on experience using generative AI tools (e.g., ChatGPT, Gemini, Claude) to draft, edit, or design content, with the ability to articulate when AI output requires human judgment.
• Uses generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Additional Details

• Internship length: 12 weeks (Summer 2027)
• Position ID: P78054
• Work model: #LI-Hybrid