Junior Data Annotator
As a Junior Data Annotator, I accurately labeled and annotated 5,000 data items for the training of machine learning models. I ensured high-quality output and maintained effective communication with data scientists to enhance the iterative annotation process. My work supported a 15% increase in annotation process speed and contributed to the successful training of two high-precision models. • Labeled large datasets using Snorkel and Labelbox software. • Provided feedback to improve annotation tools and workflows. • Maintained consistency and accuracy in annotations for machine learning purposes. • Stayed updated with best practices and latest software developments.