AI trainer (AI training, data labeling QA, and model evaluation) at Telus
Performed extensive evaluations of AI model outputs to detect biases, errors, and opportunities for improvement. Supported NLP-driven AI training by preparing conversational AI training materials and assessing chatbot response quality. Conducted quality assurance checks on labeled data to ensure consistency and resolve discrepancies before dataset use.• Evaluated model output quality and documented findings for engineering teams• Followed labeling guidelines to maintain reliable annotations• Verified labeled dataset consistency through QA checks• Fed back issues and improvement suggestions to enhance annotation tooling