- Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
- Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
- Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
- Document defects, observations, and actionable feedback for engineering and product development teams.
- Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
- Re-test resolved issues and verify fixes as current builds become available.
- Maintain detailed testing documentation and ensure traceability of validation results.
- Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.