Learning & Development Intern

This is a 12-week internship during summer 2027.

As a Learning Intern on the Coinbase Learning team within the People organization, you'll help design, deliver, and improve the programs that unlock growth for every Coinbase employee. You'll build AI-powered learning content, coordinate high-impact programs, and use data to drive measurable improvements across our 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, 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) with 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
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

Position ID: P78054

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