Apple
Quality Analyst, Data Solutions & Initiatives
Austin, Texas · Full-time · Posted Aug 28, 2026
- Experience
- At least 5+ years of relevant experience (e.g., QA, Quality Engineering, Data QA, or similar).
- Education
- Bachelor’s degree in Computer Science, Engineering, or Information Systems, or equivalent practical experience; Master’s degree preferred.
About the job
Validates data quality and functional behavior across business systems, while evaluating the reliability and correctness of AI-powered features in production.
What you'll do
- Define and execute test strategies, plans, and repeatable scenarios for new development, data loads, and regression coverage.
- Coordinate releases, make data-quality go/no-go decisions, and triage production issues with product managers.
- Report actionable findings and coordinate data-issue tickets and fixes with engineers, product managers, and stakeholders.
What they ask for
- Experience applying data-driven QA, including data reconciliation or validation, in business-critical environments.
- Experience designing automated test frameworks or test infrastructure and executing automated tests.
- Hands-on SQL and an analytics or reporting tool, plus experience independently investigating and validating datasets.
- Familiarity with LLM-based or AI-powered systems and prompt-based systems.
Nice to have
- Experience validating backend APIs, data pipelines, or service-based systems.
- Exposure to model-behavior evaluation, such as hallucination detection, grounding checks, or consistency analysis.
Tools
SQL, Business Objects, Tableau, Python, JavaScript, Selenium, Scrum, Kanban
AI focus
Evaluates the quality, reliability, and correctness of AI-powered and LLM-based outputs in real production scenarios; understands how prompt or input changes affect outputs.
Model-written summary · the original posting is authoritative