Quality Assurance Intelligence Intern
Explicitly mentions vibe coding and daily use of AI coding assistants/LLMs for prototyping and development.
About the Role
Stats Perform is hiring a Quality Assurance Intelligence Intern to build production-grade QA and automation solutions using Python, AI tooling, and prompt-based workflows. The role focuses on translating specifications into reliable automated tests, participating in AI-driven prototyping, and collaborating with global teams on sports-technology use cases.
Job Description
Role
Quality Assurance Intelligence Intern working on production-grade projects that combine Python, AI tooling, and automation within sports technology. The role focuses on QA engineering, AI-assisted development, and building automated, testable solutions used in real sports workflows.
Key Responsibilities
- Develop automated and testable solutions from specifications, requirements, and acceptance criteria.
- Work on production-grade projects combining Python, AI tooling, and automation in QA engineering.
- Use AI coding assistants (LLMs, copilots, prompt workflows) as daily development tools to accelerate development while maintaining precision and traceability.
- Participate in AI-driven prototyping, experimentation, and rapid iteration with careful attention to correctness and edge cases.
- Collaborate with global, cross-functional teams; participate in technical discussions, design reviews, and problem-solving sessions.
- Contribute to AI-enabled use cases relevant to sports workflows.
Requirements
- Strong Python programming fundamentals.
- Genuine enthusiasm for AI-assisted development and modern engineering workflows.
- Interest in prompt engineering, vibe coding, and AI-augmented problem solving.
- Detail-driven mindset with a focus on correctness and clear definitions.
- Comfortable working from specifications, requirements, and structured tasks.
- Passion for sports (playing, watching, analyzing, or building systems around them).
- Fast learner who adapts to new tools and frameworks.
- Clear communicator and collaborative team player in global teams.
Desired Qualifications
- Familiarity with AI/ML frameworks such as PyTorch and TensorFlow and Model Context Protocol (MCP).
- Awareness of Agentic AI design patterns for goal-driven systems.
- Familiarity with AWS, Argo CD for CI/CD pipelines, and Microservices Architecture (MSA).
- Experience building side projects with sports data, player tracking, computer vision, or match insights.
- Experience using Git, APIs, or QA tooling.
- Knowledge of data visualization or event recognition in sports.
Why Work at Stats Perform
Stats Perform emphasizes diverse thinking, inclusion, and collaboration. The company supports employee well-being and community engagement through programs promoting mental health, volunteer time off, and employee resource groups.
Benefits (selected)
- Mental Health Days Off
- “No Meeting Fridays”
- Flexible working schedules
- 2 days of Volunteering Time Off
- Employee Resource Groups and DEI initiatives