What Identifies a Quality Assurance Executive QA Tester A Quality Assurance QA Tester working on AI-driven projects ensures the accuracy reliability and performance of AI models applications and integrated systems Beyond traditional testing they validate model behavior evaluate prompt quality and ensure AI outputs meet user expectations and business requirements This role involves designing structured test plans test cases and validation scripts based on product requirements and AI model behavior QA Testers conduct manual and automated testing document findings and collaborate closely with developers data scientists and product teams They also perform cross-browser and cross-platform validation using tools like BrowserStack ensuring seamless user experiences across environments In AI contexts QA Testers may evaluate prompting strategies test model responses for consistency and accuracy and perform bias performance and edge-case testing They help refine AI interactions ensuring the system behaves safely reliably and predictably Contributions of a QA Tester AI Output Quality Evaluation Testing AI responses for correctness relevance safety and consistency Prompt Engineering Testing Creating refining and validating prompts to ensure optimal model performance Manual Automated Testing Covering UI functionality integrations and workflows across web and mobile Cross-Browser Cross-Device Testing Using BrowserStack for real-device and environment testing Bug Detection Reporting Identifying edge cases anomalies model issues and UI UX bugs Performance Load Testing Using tools like JMeter or equivalent to ensure systems scale efficiently Usability Testing Ensuring intuitive interactions in AI-powered user journeys Continuous Improvement Innovation Suggesting test optimizations AI evaluation enhancements and workflow improvements Expectations for a QA Tester Strong Understanding of AI Product Behavior Ability to interpret model outputs identify inconsistencies and test for bias hallucinations and incorrect responses Comprehensive Test Planning Writing detailed test cases for UI APIs AI features and end-to-end flows Prompt Testing Evaluation Understanding prompting techniques testing multiple variations and ensuring improved model accuracy AI Safety Security Testing Ensuring the model adheres to compliance safety standards and data protection requirements Thorough Regression Testing Updating and maintaining regression suites for AI model updates and product enhancements Bug Reporting Documentation Using tools like Jira Trello or Asana to report issues with clarity and structure Cross-Functional Collaboration Working with ML engineers product managers and developers to resolve defects and refine product quality Capabilities of a Quality Assurance Executive QA Tester Educational Background Preferred Bachelor s or Master s degree in Computer Science IT or a related field AI Prompting Knowledge Familiarity with LLM behavior prompt crafting and evaluation of AI outputs BrowserStack Experience Hands-on experience performing cross-browser device testing User Acceptance Testing UAT Supporting clients and end-users to validate that the AI product meets real-world needs Continuous Learning Mindset Staying updated with AI tools testing methods prompting strategies and automation frameworks Certifications Optional QA certifications Manual Automation ISTQB or AI-related certifications can be beneficial Experience Minimum 1 year of QA experience preferably on AI or ML-centric products If the above role matches your experience and interest please contact us at 91 (phone hidden) or email your resume to hr atologistinfotech com Job Types Full time Permanent Pay 40 000 00 - 70 000 00 per month Benefits Leave encashment Paid sick time Paid time off Work Location In person