Audio Transcription & Data Annotation for AI Training
I worked on an imagery data annotation project focused on preparing visual datasets for AI model training and evaluation. The project involved reviewing and labeling images based on predefined guidelines, including identifying objects, categorizing visual elements, and ensuring accurate tagging for machine learning applications. I also performed image classification and basic bounding tasks to support model accuracy in recognizing patterns and objects. The dataset consisted of a large volume of images that required consistent and precise labeling. I ensured high-quality outputs by carefully following annotation standards, maintaining labeling consistency, and conducting regular quality checks to minimize errors. I also reviewed previously labeled data to correct inconsistencies and improve overall dataset reliability. Throughout the project, I demonstrated strong attention to detail, accuracy, and the ability to work efficiently under time constraints. I adhered strictly to quality assurance guidelines, including validation of annotations, cross-checking labels, and maintaining data integrity. This contributed to improving the performance and reliability of AI models trained on the dataset.