The Data Quality Analyst supports multilingual data-annotation teams by auditing outputs, providing actionable feedback, interpreting evolving guidelines, coaching team members, and identifying quality issues in human and model outputs. The role seeks candidates with English plus at least one primary language (French, Italian, Spanish, or German) and one secondary language (Portuguese, Russian, Polish, Turkish, or Vietnamese), along with relevant QA, data annotation, or AI/ML workflow experience.