AI Data Quality Reviewer (Contract), TELUS International AI
I evaluated, annotated, and validated over 200 AI-generated text outputs daily for accuracy and consistency. Each output was assessed against strict quality standards, requiring careful attention to logical errors and relevance. I cleaned and reviewed datasets to ensure input data integrity prior to AI model deployment. • Documented errors and model limitations for auditability. • Identified edge cases to enhance dataset quality. • Worked independently across global projects on a remote basis. • Supported continuous model improvement through systematic feedback.