Quality Engineering Intern, AI/ML

Rocket LawyerColorado Springs, CO
$40 - $50Remote

About The Position

Join our team as a Quality Engineering Intern on the AI/ML team at Rocket Lawyer, where you'll have the exciting opportunity to contribute to the testing of applications for Rocket Copilot, our AI Product. This internship offers hands-on experience in the software development process, and you'll collaborate closely with a talented, diverse, and global test team. Your work will directly impact the quality of Rocket Lawyer’s products, all while gaining valuable insights into industry best practices for software development and test automation. In this role, you'll dive into various areas of test automation, including mobile, partnerships, web frontend, and performance testing. This internship provides a unique chance to apply your skills and learn innovative testing and automation techniques, all while receiving mentorship from experienced professionals in the field. If you're eager to contribute to real-world projects and grow your expertise, we would love to have you join us!

Requirements

  • Graduate Student, Recent Graduate, or in your Senior year: Pursuing a technical degree in computer science, engineering, mathematics, or a related field.
  • Familiarity with Javascript/Typescript and Python.
  • A strong desire to expand your knowledge, improve technical skills, and grow within a collaborative environment.

Responsibilities

  • Assist with the creation and execution of automated tests for mobile applications.
  • Develop automated test scripts for integrations with external partners.
  • Contribute to the automation of testing for marketing sites and Google Tag Manager functionality.
  • Help build and execute automated test cases for web frontend applications and authoring tools.
  • Assist in identifying and measuring system performance to ensure optimal functionality under varying loads.
  • Actively participate in daily scrum meetings, collaborating with team members and engineers to align on priorities and tasks.
  • Support in the building, execution, and delivery of automated test scripts and results.
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