After a little bit of reaserch ,
Here are real examples of emerging roles I found in today’s market:
- AI Tester (TTC)
- AI Automation Quality Engineer - Assistant Manager (Deloitte)
- AI QA Tester (ADV Techminds)
- Director, AI/ML Penetration Testing (NetSPI)
- AI/ML Test Engineer (Aveva)
- QA Engineer - Generative AI, Support Apps (Apple)
Here are some key responsibilities that I summarised from these roles:
- Test Planning & Strategy – Define and execute test plans for functional, performance, and AI/ML-specific validations in collaboration with stakeholders.
- Automation Development – Build and maintain test automation frameworks and CI/CD integrations using Playwright, Selenium, Python, and GenAI technologies.
- AI/ML Model Validation – Test AI/ML models for accuracy, fairness, robustness, and bias; ensure quality of training data and model outputs.
- Performance, Security & Compliance – Conduct load, stress, security, and compliance testing, ensuring adherence to standards like GDPR and CCPA.
- Documentation & Reporting – Maintain detailed test documentation, defect logs, and reports to support audits and feedback cycles.
- Continuous Improvement & Learning: Stay up-to-date with emerging trends in AI/ML testing, automation tools, and QA best practice