AI trainer
In this project, I worked as a data labeler responsible for annotating and categorizing datasets used to train AI and machine learning models. My tasks included labeling images, tagging text data, and verifying annotations to ensure accuracy and consistency. The project involved processing a large dataset of over 5,000 items, where I carefully reviewed each entry according to the provided guidelines. I used annotation tools to classify objects, tag relevant information, and flag unclear data for further review. To maintain high quality, I followed strict labeling guidelines, conducted regular self-checks, and participated in quality review processes. I ensured consistency in labeling, corrected errors when identified, and maintained an accuracy rate above the required project standards. This project helped improve my attention to detail, ability to follow detailed instructions, and efficiency in handling large datasets for AI training purposes.