Data annotator
Utilized supervised labeling techniques to annotate datasets, ensuring high accuracy in categorizing diagnostic software outputs and math-related content.
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AI Trainer / Data Annotator – Telus International AI. Core strengths include Parimango and Other. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.
Utilized supervised labeling techniques to annotate datasets, ensuring high accuracy in categorizing diagnostic software outputs and math-related content.
As an AI Trainer and Data Annotator at Telus International AI, I evaluated and annotated AI-generated responses across multiple domains including STEM and affective conversation. My work focused on rating accuracy, logic, and emotional appropriateness in AI outputs to optimize model behavior. I leveraged both unimodal and multimodal annotation techniques for diverse data types using the Parimango platform. • Assessed mathematical and logical response quality for high-stakes STEM applications. • Evaluated affective conversations for empathy, realism, and cultural relevance. • Analyzed AI agent interactions for interpersonal advice, coaching, and safe companionship responses. • Annotated image, video, audio, and transcript data using advanced multimodal tools.
Bachelor of Technology, Computer Science
Subject Matter Expert