Automation Engineer 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 internship programs assign you to side projects that go unused. This one embeds you in the operational infrastructure scaling a new education model nationwide.
2 Hour Learning is establishing a national school network that condenses a full academic day into two concentrated hours powered by AI. Supporting this model is a high-velocity operational system: site selection, permitting, construction, vendor coordination, 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 that apply AI to actual operational constraints in school expansion. This might include developing tools that compress permitting research from days into hours, organizing construction workflows into repeatable systems, automating vendor evaluation, enhancing forecasting precision, or designing internal copilots that enable operators to make quicker decisions. You are not here to watch. You are here to create systems that operators depend on.
This role is well-suited for students seeking to deploy AI beyond demonstrations and prototypes. You will tackle complex real-world challenges where speed, clarity, and execution are paramount. The ideal candidate is curious, technical, highly resourceful, and motivated to solve problems independently.
This is a paid summer internship offering $1,000/week. Timing can be adjusted to accommodate academic schedules, though the internship should span approximately 7-8 weeks. If you are interested in working on applied AI systems directly connected 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 execution
- Examine operational processes including permitting, construction coordination, vendor management, or forecasting to uncover automation opportunities
- Prototype and validate AI copilots, research agents, or workflow automations deployed by real operators
- Convert ambiguous operational challenges into structured systems, dashboards, prompts, or process documentation
- Collaborate directly with operators and leadership to improve tools based on real-world usage and feedback
What you will NOT be doing
- Creating throwaway prototypes that never get adopted by the business
- Spending the summer performing repetitive administrative work or observing meetings without ownership
- Working on isolated academic exercises unconnected to real operational outcomes
- Waiting for fully 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 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 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
Applying for a role? Here’s what to expect.
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