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, test, and refine prompts based on output quality.
• AI-native enough to work without constant handholding.
• Curious and technical enough to learn new tools without needing every step explained.
• Clear communicators who can explain AI issues to non-technical teammates.
• Good at noticing when an AI answer is vague, wrong, hallucinated, or not actually useful.
• Organized enough to document a workflow so someone else can repeat it.
• Practical enough to care more about real outcomes than shiny demos.

A good signal: you have used AI in a CLI, coding tool, agent workflow, or code-oriented version of an AI product, not only the normal chat interface.

Helpful background

A computer science, software engineering, data science, information systems, or related technical background is a plus, but not required if you can show hands-on AI and tooling experience.

Helpful experience includes:

• Claude, ChatGPT, Codex, Cursor, GitHub Copilot, or similar AI tools.
• CLI tools, GitHub, Linear/Jira, Slack, Notion, Obsidian, or similar team systems.
• Basic scripting or development experience in JavaScript, TypeScript, Python, or web/mobile tools.
• QA/testing, bug reporting, product support, or operations workflows.
• Prompt engineering, automation, dashboards, reporting, or internal documentation.
• Marketing automation or customer communication tools such as Customer.io, HubSpot, GoHighLevel, or similar platforms.

Example projects

Depending on skill level, this intern may help with projects like:

• Build an AI-assisted QA checklist for upcoming product releases.
• Create a workflow for teammates to submit AI help-desk requests and get clear support.
• Maintain a team AI workspace with prompts, examples, playbooks, and best practices.
• Create templates for requirements gathering, ticket creation, bug reports, release notes, and QA reviews.
• Evaluate Customer.io or similar lifecycle tools against internal build options.
• Support AI-assisted dashboards, reports, or customer/product operations workflows.
• Clean up internal knowledge bases so AI tools can retrieve better context.

Structure

• Works closely with Product and Engineering, with visibility to leadership as workflows mature.

How to apply

Please include the following with your application:

• A short note about why this role interests you.
• Examples of AI tools you have used and what you built, tested, automated, or improved with them.
• Any relevant coursework, GitHub links, demos, scripts, workflows, docs, or technical projects.
• A brief answer to one of these prompts:
• What is one practical way an AI assistant could help a product or engineering team ship better software?
• Tell us about a time an AI answer was vague, wrong, or not useful. How did you catch it?
• What is a team workflow you would try to improve with AI, and how would you test whether it actually worked?

Equal opportunity

USR is an equal opportunity employer. We care about practical skill, curiosity, communication, and follow-through. If you can help us make AI useful for the team and better for the coaches and athletes we serve, we want to hear from you.

Pay: $30.00 - $40.00 per hour

Work Location: Remote