AI training data labeling - Telus International AI (Ad Quality & Age-Appropriateness Evaluation; Search & Ad Relevance Evaluation)
Performed quality evaluation and classification of internet ads and landing pages across 30+ content categories using structured age-appropriateness ratings (G/PG/T/MA). Applied independent judgment to ambiguous and edge-case content by considering severity, duration, and contextual signals to produce consistent human-labeled training data. Updated and followed complex, versioned policy guidelines while maintaining accuracy and throughput at high task volumes. • Labeled ad/landing page content for category and age appropriateness per policy rules • Conducted ad relevance and search intent evaluation (ad-to-query fit and product-to-user-need alignment) • Assessed near-exact keyword to landing page relevance and alignment quality • Evaluated whether ads were properly targeted to intended audiences