AI 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 summer internships assign you to side projects that never see the light of day. This one embeds you in the operational machinery scaling a new educational model nationwide.
2 Hour Learning is creating a national school network that condenses a full academic day into two intensive hours through AI. Supporting that model is a rapidly evolving operational infrastructure: site selection, permitting processes, construction management, vendor coordination, forecasting systems, and expansion frameworks that must improve with each new campus. This internship was created to accelerate that infrastructure.
You will contribute directly to special projects that apply AI to genuine operational challenges in school expansion. Your work may involve creating tools that compress permitting research from days into hours, organizing construction workflows into repeatable systems, automating vendor evaluations, enhancing forecast precision, or developing internal copilots that enable operators to decide faster. You are not here to watch. You are here to create systems that operators depend on.
This role suits students who want to deploy AI beyond demonstrations and prototypes. You will tackle unstructured real-world challenges where speed, clarity, and execution are critical. The ideal candidate is curious, technically capable, highly resourceful, and eager to solve problems independently.
This is a paid summer internship compensated at $1,000/week. Timing can flex around academic calendars, but the internship should span approximately 7-8 weeks. If you want to work on applied AI systems directly connected to tangible business outcomes, we want to hear from you.
What you will be doing
- Create AI-powered workflows and internal tools that speed up school expansion and operational execution
- Examine operational processes including permitting, construction coordination, vendor management, or forecasting to surface automation opportunities
- Prototype and validate AI copilots, research agents, or workflow automations deployed by actual operators
- Convert unclear operational challenges into structured systems, dashboards, prompts, or process documentation
- Collaborate directly with operators and leadership to iterate on tools based on real-world usage and feedback
What you will NOT be doing
- Creating disposable prototypes that the business never adopts
- Spending your summer on repetitive administrative tasks or observing meetings without ownership
- Working on isolated academic exercises unrelated to real operational outcomes
- Waiting for perfectly defined requirements before taking action
- Maintaining legacy systems or handling low-impact support tasks
Key responsibilities
Design and implement 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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