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Qa Assurance Analyst (Entry Level)

Company

Pattern Learning AI - Career & Tech Recruitment Reimagined!

Address New York, United States
Employment type FULL_TIME
Salary
Category Software Development
Expires 2023-09-20
Posted at 8 months ago
Job Description
This is a remote position.


QA Assurance Analyst (Entry Level) , US/Canada Residents only, Full-Time, Salary $60K-$70K.


Minimum 1 year of project experience required - fully remote position. Freshers are also encouraged to apply.


About us:


The Future of AI is Patterned We are a stealth-mode technology startup that is revolutionizing the way AI is used. Our platform uses pattern recognition to train AI models that are more accurate, efficient, and robust than ever before.


We are backed by top investors, including Sequoia and Andreessen Horowitz, and we are hiring for almost everything! If you are passionate about AI and want to be a part of something big, then we want to hear from you.


Make a positive impact on the world. Be a part of a fast-growing startup. If you are interested in learning more, please visit our website.


We are looking for people who are:


Passionate about AI.


Excellent problem solvers.


Team players.


Driven to succeed.


Requirements


Key Responsibilities:


  • Perform thorough manual testing to identify defects, gather and analyze test data, and provide valuable insights to development teams.
  • Document and track defects, working closely with development teams to ensure timely resolution and validation.
  • Participate in release management activities, ensuring that each release meets the highest quality standards.
  • Mentor and provide guidance to junior QA analysts, sharing best practices and fostering their professional growth.
  • Lead and manage end-to-end quality assurance efforts for [specific project/product/service], including test planning, execution, and defect management.
  • Design, implement, and maintain automated testing scripts and frameworks to enhance testing efficiency.
  • Collaborate with stakeholders to understand project requirements and ensure accurate test coverage.
  • Develop comprehensive test strategies, test plans, and test cases to validate the functionality, performance, and usability of our [products/services].
  • Contribute to the enhancement of QA processes, methodologies, and tools to drive continuous improvement.


Qualifications:


  • Previous experience mentoring or leading junior team members is advantageous.
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
  • Proficiency in manual testing techniques, defect tracking, and reporting.
  • Solid understanding of SDLC, agile methodologies, and QA best practices.
  • 1 year of proven experience in quality assurance and software testing, with a focus on [relevant technologies/industries].
  • Excellent problem-solving and analytical skills with meticulous attention to detail.
  • Strong communication skills and ability to collaborate effectively with cross-functional teams.
  • Strong expertise in test planning, test case design, and test execution.
  • Familiarity with automated testing tools and frameworks, such as [specific tools].


Benefits


Special Benefits you will love:


  • Health, vision, and dental insurance
  • Flexible vacation, unlimited paid holidays, and paid sick days
  • 401(k) with up to 2% employer match


Why Patterned Learning AI?


Patterned Learning AI is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real world problems---and we're growing quickly. In order to continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.


We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Patterned Learning AI is proud to be an equal opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status.