Operations Management Intern
Duration - 3 months to 6 months
Stipend - 35,000 in hand
Working Days - 6 days
About IRL
Researchers at UC Berkeley have identified a "100,000-year data gap" - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork's answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world's leading Robotics labs use to train their foundation models. Read more here.
Role Overview
We are looking for an analytically-minded Operations Management Intern with an engineering background to join our team. This role is ideal for Engineering Graduates who enjoy solving structural problems and want to apply their technical discipline to business operations. You will be responsible for managing high-volume data and coordinating complex logistics to ensure our operational engine runs at peak efficiency.
Key Responsibilities
- Operational Analytics: Use your engineering mindset to break down operational workflows and identify areas for automation or optimization.
- Advanced Data Tracking: Manage and audit large-scale datasets using Excel, ensuring 100% accuracy in reporting and forecasting.
- Project Coordination: Oversee the lifecycle of specific operational tasks, ensuring technical requirements and timelines are met.
- Stakeholder Liaison: Act as a bridge between technical teams and field operations to ensure seamless communication.
- Problem Solving: Rapidly troubleshoot real-time operational issues using a logical, first-principles approach.
Mandatory Qualifications
- Education: B.E. / B.Tech Graduate (All streams welcome; Batch of 2025 or 2026).
- Event Leadership: Proven experience in a core leadership or operations role for a College Fest. We are looking for candidates who have managed budgets, logistics, or large teams in a high-pressure environment.
- Technical Tools: Expert-level proficiency in Microsoft Excel (formulas, data modeling, and pivot tables).
- Systems Thinking: Ability to understand how different parts of a process impact the whole.