Role overview
We are seeking a dedicated and detail-oriented QA Engineer to join our team focused on developing an AI-driven Social Authenticity Network. The ideal candidate will be responsible for ensuring the quality and reliability of our platform, which leverages artificial intelligence to foster authentic user interactions and mitigate fraudulent or inauthentic behavior.
What you'll work on
- Quality Assurance Strategy: - Develop and implement comprehensive QA strategies and testing methodologies tailored to an AI-powered environment
- Test Case Development: - Analyze functional requirements to create and execute detailed test cases that ensure complete coverage of application features and AI functionalities
- Regression and Performance Testing: - Conduct regression testing to ensure changes to the code base do not introduce new issues. - Execute performance and stress tests on the platform to evaluate its scalability and responsiveness under different load conditions. - Collaborate with data scientists and developers to test AI models and algorithms, validating their predictive accuracy and ensuring they align with system requirements.
- Continuous Learning and Improvement: - Stay current with industry trends, tools, and methodologies related to QA and AI technologies. - Propose and implement improvements to QA processes to enhance product quality and team efficiencies
Why Join Us? Join our innovative team to work on cutting-edge technology solutions aimed at promoting authenticity in social interactions. We offer a dynamic work environment, opportunities for career development, and the chance to make a significant impact on the way people connect online.
Location: Remote Competitive salary based on experience
Tags & focus areas
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