About the Role
The role involves designing and executing test strategies for AI-integrated learning systems, identifying defects, and working closely with development teams to enhance product quality and user experience.
Responsibilities
- Develop comprehensive test plans for AI-based e-learning applications
- Execute functional, regression, and performance testing across platforms
- Collaborate with developers to reproduce and resolve software defects
- Validate AI model outputs for accuracy and consistency
- Automate test cases to improve efficiency and coverage
- Monitor system behavior in production environments
- Document test results and generate quality reports
- Participate in agile development cycles and sprint planning
- Ensure compliance with accessibility and usability standards
- Evaluate new testing tools and methodologies
- Support continuous integration and delivery pipelines
- Conduct root cause analysis for critical issues
- Work with product teams to understand feature requirements
- Verify localization and internationalization of content
- Assess security vulnerabilities in application workflows
- Test user interactions with AI-driven recommendations
- Validate data integrity across learning modules
- Perform end-to-end testing of course delivery systems
- Ensure compatibility across browsers and devices
- Contribute to quality assurance best practices
- Review code changes for testability and risk impact
- Assist in defining quality metrics and KPIs
- Participate in user acceptance testing sessions
- Stay current with advancements in AI and education technology
- Escalate high-priority issues to engineering leadership
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible hours
Team
Collaborative team focused on AI-driven educational technology
Why Join Us
- Opportunity to shape the quality of next-generation AI learning tools
- Work in a fast-paced environment with talented professionals
- Access to training and certification programs
- Innovative projects with real-world impact
- Culture that values feedback and continuous growth
Technology Stack
- Python for test automation and scripting
- Selenium and Playwright for web testing
- PyTest and Robot Framework for test execution
- Docker for test environment management
- TensorFlow and PyTorch for AI model validation
- Kubernetes for deployment testing
- React-based frontends for learning interfaces
- RESTful APIs for service integration
- AWS for cloud infrastructure
- MongoDB and PostgreSQL for data storage
Available for qualified candidates
