AI Data Trainer, TELUS
I collaborated with data scientists and machine learning engineers to build high-quality datasets for AI model training and optimization. My responsibilities included data annotation, debugging errors, tuning model parameters, and iterative training/testing cycles to improve AI and ML model accuracy. I primarily worked on datasets for speech recognition and image classification applications. • Labeled and classified speech and visual data for use in ML models. • Tuned hyperparameters and expanded annotation coverage for better model results. • Supported error debugging and reviewed dataset integrity. • Worked with recommendation system models for iterative model upgrades.