Quality Assurance (QA) Intern
Avary.ai · United States; San Jose, CA, US
Checked against dover. Still accepting applications.
- Location
- United States; San Jose, CA, US
- Type
- Internship
- Posted
[Avary.ai](http://Avary.ai) builds AI-powered recruiting products where quality, reliability, and user trust are critical. We’re looking for a QA Intern to help ensure our platform delivers a smooth, accurate, and reliable experience for users.
This role is ideal for someone interested in software quality, testing, automation, and AI-driven systems.
What You’ll Do
- Assist in testing web-based AI products across different workflows and user scenarios.
- Execute manual test cases for frontend, backend, and AI-generated outputs.
- Help identify, document, and track bugs and edge cases clearly.
- Collaborate with engineers and product managers to validate fixes and new features.
- Support regression testing before releases.
- Learn how to evaluate AI outputs (e.g. text quality, consistency, accuracy).
- Help improve QA documentation, test cases, and testing processes.
AI-First QA Environment (Very Important)
QA at [Avary.ai](http://Avary.ai) goes beyond traditional testing.
You will learn to:
- Use AI tools to generate test cases and edge scenarios
- Evaluate and compare LLM outputs using structured criteria
- Use AI-assisted tools for test automation ideas and validation
- Build AI-supported workflows for faster QA cycles
Who We’re Looking For
- Currently pursuing a degree in Computer Science, Engineering, Information Systems, or related fields.
- Strong attention to detail and logical thinking.
- Interest in software testing, QA, or product quality.
- Ability to clearly document issues and communicate with engineers.
- Curiosity about AI systems and how to test them effectively.
- No prior QA experience required—training provided.
Why Join [Avary.ai](http://Avary.ai)
- Learn how modern AI products are tested
- Work closely with engineers and product teams
- Gain hands-on QA experience in a real startup
- Opportunity to grow into QA automation or engineering roles
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