AI 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 side projects that go unused. This one places you at the center of the operational system scaling a new educational model nationwide.
2 Hour Learning is establishing a national network of schools that condense a full academic day into two concentrated hours through AI. Supporting this model is a rapidly evolving operational infrastructure: site identification, regulatory approvals, construction management, vendor collaboration, forecasting, and expansion frameworks that must improve with each new campus. This internship is designed to accelerate that infrastructure.
You will contribute directly to special projects that deploy AI to address genuine operational constraints in school expansion. This may involve creating tools that compress permitting research from days into hours, organizing construction processes into scalable systems, automating vendor evaluation, enhancing forecast precision, or developing internal assistants that enable operators to make quicker decisions. You are not joining to watch. You are joining to create systems that operators depend on daily.
This role is well-suited for students seeking to deploy AI beyond demonstrations and prototypes. You will engage with complex real-world challenges where velocity, precision, and delivery are essential. The ideal candidate is inquisitive, technical, highly self-reliant, and motivated to solve problems independently.
This is a compensated summer internship at $1,000/week. Scheduling is adaptable to academic calendars, with an expected duration of approximately 7-8 weeks. If you are interested in working on applied AI systems directly connected to measurable business results, we encourage you to apply.
What you will be doing
- Develop AI-enhanced workflows and internal tools that speed up school expansion and operational delivery
- Examine operational processes including permitting, construction coordination, vendor management, or forecasting to discover automation possibilities
- Design and test AI assistants, research agents, or workflow automations deployed by actual operators
- Convert unclear operational challenges into organized systems, dashboards, prompts, or process documentation
- Collaborate directly with operators and leadership to improve tools through real-world application and feedback
What you will NOT be doing
- Creating disposable prototypes that the business never adopts
- Spending the summer on repetitive administrative tasks or observing meetings without direct ownership
- Pursuing isolated academic projects detached from actual operational impact
- Delaying progress until requirements are perfectly specified
- Supporting legacy systems or handling low-priority support requests
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 enrolled in a degree program in computer science, engineering, data science, operations, business, or a related discipline
- Currently based in the US and authorized to work without visa sponsorship
- Prepared to travel 25-50% to campus locations throughout the summer
- Strong analytical ability and comfort navigating ambiguous problems independently
- Proven interest in AI tools, automation, workflow systems, or operational challenge-solving
- Capacity to quickly master unfamiliar tools, systems, and business contexts
- Excellent written and verbal communication abilities
- Capability to perform effectively in a fast-paced remote setting
Nice to have
- Hands-on experience developing projects with LLMs, AI agents, automations, or workflow tools
- Proficiency with Python, JavaScript, SQL, or no-code automation platforms (Zapier, Make, Lovable, etc.)
- Curiosity about education, operations, construction, logistics, or systems design
Applying for a role? Here’s what to expect.
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