Software Engineering 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 assign busywork that never sees the light of day. This position embeds you in the operational infrastructure that's scaling an innovative education model nationwide.
2 Hour Learning is constructing a national school network that condenses a full academic day into two intensive hours powered by AI. Supporting this approach is a rapid-execution operational system: site identification, permitting processes, construction management, vendor partnerships, forecasting models, and growth infrastructure that must improve with each new location. This internship is designed to accelerate that system.
You will contribute directly to targeted projects that apply AI to genuine operational challenges in school growth. This might include developing tools that compress permitting research from days into hours, organizing construction processes into repeatable frameworks, automating vendor evaluation, enhancing forecast precision, or designing internal copilots that enable operators to decide faster. You are not here to watch. You are here to create systems that operators depend on daily.
This role is suited for students who want to deploy AI beyond academic exercises and proof-of-concepts. You will tackle complex real-world challenges where execution speed, clarity, and results are paramount. The ideal candidate is inquisitive, technically capable, highly self-sufficient, and eager to solve problems autonomously.
This is a compensated summer internship paying $1,000/week. Start and end dates are adaptable to fit academic calendars, with an expected duration of approximately 7-8 weeks. If you are interested in building applied AI systems with direct ties to business performance, we want to hear from you.
What you will be doing
- Develop AI-powered workflows and internal systems that accelerate school expansion and operational delivery
- Examine operational functions including permitting, construction oversight, vendor management, and forecasting to uncover automation potential
- Design and validate AI copilots, research agents, or workflow automations deployed by actual operators
- Convert unclear operational challenges into organized systems, dashboards, prompts, or procedural documentation
- Collaborate directly with operators and leadership to iterate on tools using real-world application and feedback
What you will NOT be doing
- Creating disposable prototypes that remain unused by the organization
- Spending your summer on repetitive clerical tasks or observing meetings without meaningful ownership
- Pursuing isolated theoretical projects detached from actual operational impact
- Waiting for complete specifications before taking initiative
- Supporting legacy infrastructure or handling trivial maintenance requests
Key responsibilities
Design and implement AI-enabled operational tools and workflows that enhance the speed, reliability, and scalability of launching new 2 Hour Learning campuses.
Candidate requirements
- Currently enrolled in a degree program in computer science, engineering, data science, operations, business, or related discipline
- Currently based in the US and authorized to work without visa sponsorship
- Available to travel 25-50% to campus locations during the summer
- Strong analytical and problem-solving skills with comfort navigating ambiguous situations independently
- Demonstrated engagement with AI tools, automation, workflow platforms, or operational challenges
- Capacity to quickly master new tools, systems, and business contexts
- Strong written and spoken communication abilities
- Ability to perform effectively in a dynamic remote setting
Nice to have
- Prior work building solutions with LLMs, AI agents, automations, or workflow platforms
- Familiarity with Python, JavaScript, SQL, or no-code automation tools (Zapier, Make, Lovable, etc.)
- Curiosity about education, operations, construction, logistics, or systems architecture
Applying for a role? Here’s what to expect.
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