Gabrielle Whittaker

I am an analytical AI Data Trainer with over three years of hands-on experience training, labeling, and evaluating data to improve artificial intelligence systems. I focus on content evaluation, search relevance, and image/video/text annotation to support model performance.

At TELUS International I evaluated online content quality, applied strict policy and rating guidelines, and collaborated on tasks involving natural language understanding and image classification. I consistently met daily productivity and accuracy targets while working under confidentiality agreements.

Previously at Remotasks I labeled text, image, and 3D data for computer vision and language models, contributing to projects including autonomous vehicle perception and facial recognition. I regularly achieved top-tier accuracy scores on internal QA reviews and provided feedback to improve task design and workflows.

I bring strong guideline compliance, quality assurance skills, and practical experience with tools such as RaterHub, Remotasks, Appen, Excel, and Google Workspace. I am motivated to apply my attention to detail and accuracy metrics to help teams align models with community standards and user needs.