QA / UX / UI Tester (Quality Focus) – AI Trainer role
Job Summary
Join our customer’s team as a QA / UX / UI Tester (Quality Focus) – AI Trainer and play a pivotal role in shaping the future of AI-powered digital experiences. In this position, you will ensure the quality, usability, and reliability of advanced AI-driven products by blending rigorous QA methodology with hands-on UX/UI evaluation and AI output annotation.
Key Responsibilities
- Conduct comprehensive QA testing on digital products to identify, document, and escalate bugs and usability issues.
- Evaluate and critique AI outputs to ensure alignment with user expectations and business requirements.
- Systematically annotate and provide structured feedback on AI-generated content and interfaces to enhance AI training.
- Collaborate closely with cross-functional teams, including engineers, designers, and product managers, to deliver actionable insights that drive continuous product improvement.
- Execute user experience (UX) and user interface (UI) testing to refine product usability and drive user-centric enhancements.
- Maintain clear, detailed, and precise documentation of test cases, results, and feedback for technical and non-technical stakeholders.
- Champion a quality-focused mindset, advocating for both end-user experience and technical reliability.
Required Skills and Qualifications
- Proven experience in QA testing, UX/UI evaluation, and digital product assessment.
- Demonstrated ability to review and annotate AI outputs, providing high-impact feedback to improve AI models.
- Strong analytical thinking, attention to detail, and problem-solving abilities.
- Excellent written and verbal communication skills, with a passion for clear, actionable documentation.
- Experience working within cross-functional teams in a fast-paced, remote environment.
- User-centric mindset with a commitment to delivering exceptional product quality and usability.
- Familiarity with industry-standard QA and UX/UI tools and methodologies.
Preferred Qualifications
- Background in AI/ML product testing or annotation.
- Formal training or certification in QA, UX, or UI disciplines.
- Experience with accessibility and inclusive design best practices.