Data Analyst (Data Labeling Specialist) — TELUS International
Evaluated and analyzed AI-generated content to improve model accuracy and performance while applying project quality standards. Performed data annotation and text response evaluation, including labeling and classification of datasets according to provided guidelines. Identified inconsistencies in outputs and delivered feedback to support improvements in AI system behavior. • Annotated and labeled AI training data for downstream model performance • Assessed text responses against quality criteria • Conducted quality assessment of labeled data at scale • Met productivity and accuracy targets in a remote environment