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QA Engineer Intern
RackspaceJob Location
Job Summary
As a QA Engineer Intern at Rackspace Technology, you will play a critical role in ensuring the quality and reliability of AI-driven products. You will work closely with engineers and data scientists to design, implement, and automate user acceptance testing for AI applications. This is an excellent opportunity to learn about AI testing methodologies and industry best practices. Experience testing LLMs and AI agent integrations is highly desirable. As a QA Engineer Intern, you will develop and execute test cases, automate testing workflows, identify and document software defects, collaborate with product teams, and ensure AI systems meet user acceptance and compliance requirements. You will also have the opportunity to work on projects that shape the future of AI. With flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company, Rackspace Technology is an excellent place to start your career. If you are passionate about AI testing and want to learn from experienced professionals, apply now for this exciting opportunity.
Key Responsibilities
- Develop and execute test cases for AI-based applications and interfaces.
- Automate testing workflows to enhance efficiency and reliability.
- Identify, document, and track software defects.
- Collaborate with product teams to improve AI model validation strategies.
- Ensure AI systems meet user acceptance and compliance requirements.
- Test and validate integrations with LLMs and AI agents.
Qualifications
- Final-year student or recent graduate in Computer Science, Engineering, or related fields.
- Understanding of software testing methodologies and QA best practices.
- Experience with Python, Selenium, or other automation frameworks is a plus.
- Knowledge of AI bias, hallucinations, and model validation is beneficial.
- Experience working with LLMs and AI agent integration is preferred.
- Strong preference for candidates with experience in OpenAI and Azure environments.