AI Data Annotation & Labeling (Foundational)
Engaged in foundational data annotation, labeling, and content review with a focus on AI data operations. Performed quality assurance and error detection to ensure data integrity and support scalable digital workflows. Leveraged skills in structured data handling and process documentation relevant to AI initiatives. • Reviewed and annotated textual content for accuracy and compliance with project guidelines. • Applied consistent labeling criteria to support AI model training and evaluation. • Identified and documented inconsistencies and errors in annotated datasets. • Collaborated remotely with cross-functional teams to deliver high-quality labeled data.