Junior AI Product Operations Intern

Junior AI Product Operations Intern **Company:** Universal Speed Rating (USR) **Location:** Remote, US\-based **Job type:** Full\-time internship **Hours:** 35\-40 hours per week, flexible schedule **Pay:** $30/hour Role overview Universal Speed Rating is the trusted speed analytics platform helping coaches train smarter and athletes play faster. We work with 200\+ Speed Labs, 200\+ coaches, 100K\+ athletes, and 500K\+ data points, and we are building the standard for measuring and improving speed. We are hiring a Junior AI Product Operations Intern to help our team turn AI from scattered experiments into practical workflows that improve product work, QA, reporting, customer communication, and internal operations. This role sits between product, operations, QA, and internal tooling. You will help test AI tools, maintain workflows, document what works, support teammates using AI, and find practical ways to remove bottlenecks so we can serve coaches and athletes better. This is not a “play with AI” role. It is a “make AI useful for the team” role. Why this role matters USR is building a movement around speed training, better data, and better coaching decisions. AI can help us move faster, but only when the workflows are clear, reliable, and grounded in real team needs. The right person will help us save time, improve quality, and give our team more capacity to build tools that help coaches develop faster athletes. What you’ll work on * Act as a first\-pass AI help desk for teammates who need help with AI tools, prompts, workflows, or setup. * Maintain and improve the team’s AI workspace, including prompts, examples, workflow docs, and internal playbooks. * Help build AI\-assisted QA workflows for web, mobile, and internal product releases. * Test AI agents against real USR product flows and document what they catch, miss, or misunderstand. * Build reusable prompts, templates, checklists, and SOPs for common AI\-assisted tasks. * Support AI workflows tied to product features, dashboards, reporting, customer communication, and operations. * Research new AI tools or workflow options and summarize tradeoffs around cost, reliability, and adoption effort. * Identify automation candidates and recommend the simplest useful next step. What good looks like A successful intern will help the team: * Reduce manual QA and product operations bottlenecks. * Make AI usage more consistent across the team. * Improve release confidence through better checks and documentation. * Save product, engineering, and operations time. * Keep our internal knowledge base clean enough for people and AI tools to trust. * Separate useful AI workflows from hype, noise, and output that sounds smart but is wrong. What we’re looking for You do not need to be a senior engineer or AI researcher. You do need enough practical AI fluency to be useful quickly. Strong candidates are: * Comfortable using LLMs beyond basic question\-and\-answer prompts. * Able to write,