AI Data Analyst at Telus International (June 2025 – Present)
Evaluated qualitative and quantitative AI model outputs using structured guidelines to assess performance criteria. Conducted data validation and quality assurance on large-scale language datasets to ensure consistency and reliability of training inputs. Analyzed response patterns to identify systematic errors, edge cases, and gaps affecting model behavior. • Assessed accuracy, relevance, and coherence of model outputs. • Performed QA checks on language dataset inputs for training readiness. • Detected recurring failure modes and performance weaknesses across outputs. • Incorporated distributed team feedback to maintain analytical rigor and data quality.