Strategy and Operations Intern $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
Description
- Summer Internship
- $1,000 per week
- Remote with travel
Most internships hand you a side project that sits unused. This one embeds you in the operational core driving a new education model nationwide.
2 Hour Learning is creating a national school network that condenses a full academic day into two intensive hours powered by AI. Supporting that vision is a high-velocity operational system: site identification, permitting, construction, vendor management, forecasting, and expansion infrastructure that must evolve with each new campus. This internship is designed to accelerate that system.
You will contribute directly to special projects aimed at applying AI to actual operational challenges in school expansion. This might include developing tools that cut permitting research from days to hours, organizing construction workflows into scalable systems, automating vendor evaluation, enhancing forecasting precision, or building internal copilots that empower operators to decide faster. You are not here to watch. You are here to create systems that operators rely on daily.
This role is well-suited for students eager to deploy AI beyond demos and prototypes. You will tackle complex real-world challenges where speed, precision, and execution are critical. The ideal candidate is inquisitive, technical, highly resourceful, and motivated to solve problems autonomously.
This is a paid summer internship at $1,000/week. Timing can accommodate academic calendars, but the internship should span approximately 7-8 weeks. If you want to work on applied AI systems directly tied to tangible business results, we want to hear from you.
What you will be doing
- Develop AI-assisted workflows and internal tools that speed up school expansion and operational delivery
- Examine operational processes including permitting, construction coordination, vendor management, or forecasting to pinpoint automation opportunities
- Prototype and validate AI copilots, research agents, or workflow automations deployed by actual operators
- Convert vague operational challenges into structured systems, dashboards, prompts, or process documentation
- Collaborate directly with operators and leadership to refine tools based on real-world application and feedback
What you will NOT be doing
- Creating throwaway prototypes that never reach operational use
- Spending the summer on repetitive administrative tasks or shadowing meetings without ownership
- Working on isolated academic exercises detached from real operational impact
- Waiting for fully defined requirements before taking action
- Maintaining legacy systems or managing low-priority support tasks
Key responsibilities
Design and implement AI-powered operational tools and workflows that enhance the speed, consistency, and scalability of launching 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 navigating ambiguous challenges independently
- Demonstrated interest in AI tools, automation, workflow systems, or operational problem-solving
- Ability to quickly learn unfamiliar tools, systems, and business domains
- Strong written and verbal communication skills
- Ability to work effectively in a fast-paced 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
Applying for a role? Here’s what to expect.
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