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Freelancer Overview
Through my work at Outlier and Telus International, I have contributed to multiple data labeling and AI training data projects, bringing a strong foudation in Probability and Statistics and STEM. My quantitative background allows me to approach labelling tasks with analitycal rigor - evaluating edge cases, assessing ambiguity, rewritting answers, and making consistent decisions that strengthen the reliability. What sets me apart is a unique combination of over 22 years of mathematics education, a ongoing PhD in Medical Sciences specializing in Education, and hands-on research experience at Universities. This depth of expertise allows me to go beyond standard annotation, contributing meaningfully to technically complex tasks involving scientific reasoning, statistical judgment, and mathematical accuracy. Having developed and delivered training programs in Statistics, Econometrics, and Biostatistics to hundreds of university students annually, I bring strong attention to detail, structured thinking, and a consistent ability to produce high-quality, reliable work even in the most technically demanding AI training projects.