Ads Relevance & Content Quality Annotation Project
TelusTextText Summarization
Performed large-scale text annotation and evaluation of online advertisements and search results as part of an AI training pipeline. Tasks included assigning relevance and quality scores, categorizing ads based on user intent, and labeling content for policy compliance using detailed annotation guidelines.
Ensured consistency and accuracy across high-volume annotations, contributing human-labeled data used to improve automated ad ranking, relevance, and safety systems. Adhered to strict quality benchmarks, review processes, and performance standards throughout the project.
Performed large-scale text annotation and evaluation of online advertisements and search results as part of an AI training pipeline. Tasks included assigning relevance and quality scores, categorizing ads based on user intent, and labeling content for policy compliance using detailed annotation guidelines. Ensured consistency and accuracy across high-volume annotations, contributing human-labeled data used to improve automated ad ranking, relevance, and safety systems. Adhered to strict quality benchmarks, review processes, and performance standards throughout the project.
2025