Image & Text Data Labeling for AI Model Training
Worked on multiple data labeling and annotation projects focused on training machine learning and AI models. Responsibilities included annotating image datasets using bounding boxes for object detection, classifying images and text data, and performing named entity recognition (NER) on textual datasets. Handled medium-to-large datasets (1,000+ records per task) while strictly following project guidelines and annotation standards. Ensured high accuracy through quality checks, consistency reviews, and feedback incorporation. Collaborated with reviewers to correct errors and improve annotation precision to meet client quality benchmarks.