Junior Data Annotator
I worked on organizing, reviewing, and validating structured text and tabular data as part of academic and self-directed projects. My work involved applying clear rules to classify information, identifying inconsistencies, and correcting errors to improve data quality. I routinely reviewed outputs for logical correctness, documented issues, and refined decision criteria, closely resembling real-world AI data annotation and model evaluation workflows. This experience strengthened my attention to detail, ability to follow strict guidelines, and capacity to deliver consistent, high-quality labeled data.