Data Annotation & Labeling (Basic Understanding)
Possesses a basic understanding of data annotation and labeling techniques. Gained exposure to data labeling tasks through training and self-study, with a focus on ensuring accuracy and adherence to guidelines. Demonstrates an eagerness to further develop practical skills in the field of data annotation. • Familiar with key concepts and methods for text-based annotation. • Practiced attention to detail and guideline compliance in simulated annotation activities. • Motivated to support AI development and high-quality data processing. • Explored foundational annotation workflows and digital labeling tools in an academic or self-paced setting.