Self-Initiated Data Annotation Project (Text Classification)
I independently annotated over 500 text samples into specific categories such as sentiment and intent classification as part of a self-initiated data annotation project. I ensured high consistency and accuracy according to established labeling guidelines. I applied structured annotation rules and performed thorough quality checks to maintain uniformity and accuracy within the dataset. • Achieved over 95% accuracy and consistency rates. • Corrected inconsistencies based on quality checks and feedback. • Developed strong pattern recognition and categorization skills during the project. • Simulated real-world workflows found in companies like Scale AI and Remotask.