Junior Quality Assurance Tester

Junior Quality Assurance Tester - Remote Job, US/Canada, 1+ Year Experience About us: Patterned Learning is an AI-powered platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.

After applying for a position, please follow our page for further updates. Requirements: Curious. Good problem-solving skills. Loves to play and find loopholes in a game/app. Strong knowledge of software QA methodologies, tools, and processes. Proven ability to employ analytical thinking to solve problems and generate solutions. Ability to troubleshoot and think out of the box. Proven ability to collaborate in a multicultural team.

Ability to remain focused in a team-oriented environment. Ability and willingness to keep learning. Ability to use software tools such as Gitlab, Word Processor, Spreadsheet, and Web Browser. Knowledge of modern education systems and development fields is desirable. Good verbal and written communication skills (Required language: English) Qualification: Has a Bachelor’s degree in engineering, computer science, computer engineering, or a similar major.

Experience writing clear, concise, and comprehensive test strategies, plans, and cases. Understand the difference between white-box, grey-box, and black-box testing. Proven work experience in software quality assurance. Proven work experience in the game industry. Experience with automated testing tools. Understanding of basic user experience design patterns – such as button placement, screen space use, hot zones, critical paths, and color pallet.

Experience writing automated UI testing scenarios using Selenium or equivalent frameworks. Benefits Working remotely with an international team Accommodation in Bandung (if needed) Meal allowance Healthcare Internet package incentive Why Patterned Learning AI? By leveraging AI, Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively.

This AI-powered assistance can help reduce coding errors, improve productivity, and accelerate the development process. The use of AI in pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.