School Development - Summer 2026 Internship
$50,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

United States
Short-term contract
Fully-remote
full-time (40 hrs/week)
Flexible schedule

School Development - Summer 2026 Internship   $50,000 USD/year

Description

  • Summer Internship
  • $1,000 per week
  • Remote with travel

Most internships give you a side project no one uses. This one puts you inside the machine that is scaling a new model of education across the country.

2 Hour Learning is building a national network of schools that compress a full day of academics into two focused hours using AI. Behind that model is a fast-moving operational engine: site selection, permitting, construction, vendor coordination, forecasting, and expansion systems that need to get smarter with every new campus. This internship exists to accelerate that engine.

You will work directly on special projects designed to apply AI to real operational bottlenecks in school expansion. That could mean building tools that reduce permitting research from days to hours, structuring construction workflows into reusable systems, automating vendor analysis, improving forecasting accuracy, or creating internal copilots that help operators make faster decisions. You are not here to observe. You are here to build systems that operators actually use.

This is an ideal role for students who want to apply AI beyond demos and prototypes. You will work on messy real-world problems where speed, clarity, and execution matter. The right candidate is curious, technical, highly resourceful, and excited to figure things out independently.

This is a paid summer internship at $1,000/week. Timing is flexible around academic schedules, but the internship should run approximately 7-8 weeks. If you want to work on applied AI systems tied directly to real business outcomes, we want to hear from you.

What you will be doing

  • Build AI-assisted workflows and internal tools that accelerate school expansion and operational execution
  • Analyze operational processes such as permitting, construction coordination, vendor management, or forecasting to identify automation opportunities
  • Prototype and test AI copilots, research agents, or workflow automations used by real operators
  • Translate ambiguous operational problems into structured systems, dashboards, prompts, or process documentation
  • Work directly with operators and leadership to refine tools based on real-world usage and feedback

What you will NOT be doing

  • Building throwaway prototypes that never get used by the business
  • Spending the summer doing repetitive administrative work or shadowing meetings without ownership
  • Working on isolated academic exercises disconnected from real operational outcomes
  • Waiting for perfectly defined requirements before making progress
  • Maintaining legacy systems or handling low-impact support tasks

Key responsibilities

Design and deliver AI-driven operational tools and workflows that increase the speed, consistency, and scalability of opening new 2 Hour Learning campuses.

Candidate requirements

  • Currently pursuing a degree in computer science, engineering, data science, operations, business, or a related field
  • Currently located in the US and eligible to work without visa sponsorship
  • Willing to travel 25-50% to campus sites throughout the summer
  • Strong problem-solving ability and comfort working through ambiguous challenges independently
  • Demonstrated interest in AI tools, automation, workflow systems, or operational problem-solving
  • Ability to rapidly learn unfamiliar tools, systems, and business domains
  • Strong written and verbal communication skills
  • Ability to work effectively in a fast-moving remote environment

Nice to have

  • Experience building projects using LLMs, AI agents, automations, or workflow tools
  • Experience with Python, JavaScript, SQL, or no-code automation platforms (Zapier, Make, Lovable, etc.)
  • Interest in education, operations, construction, logistics, or systems design

Meet a successful candidate

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