AI Trainer & Data Annotator
Worked on a remote AI training and data annotation project focused on improving machine learning models used for data science and analytical reasoning. The project involved annotating, validating, and reviewing text- and code-based tasks where AI model outputs were evaluated for correctness, efficiency, and clarity. Used Python to inspect datasets, validate logic, and verify computational results, and SQL to query structured data and confirm data integrity during annotation and evaluation tasks. Contributed to labeling datasets related to data analysis, statistics, and programming workflows, ensuring alignment with detailed project guidelines and quality benchmarks.