Data Annotator (Remote) — TELUS International
Annotated text, audio, and structured datasets to support improvements in AI model performance. Created and reviewed labeled outputs following detailed project guidelines and maintained consistency across structured data results. Performed quality control checks to ensure high annotation accuracy and logical alignment between prompts, outputs, and labels. • Labeled text and audio data for model training • Interpreted structured data to maintain logical consistency • Conducted QC checks for accuracy and consistency • Met productivity targets while adhering to quality standards