Text Data Annotator (Academic Project)
Label StudioTextClassification
Conducted classification and annotation of textual data to generate structured datasets for NLP tasks. Applied quality assurance, accuracy verification, and consistency checking throughout the annotation process. Ensured compliance with annotation guidelines for robust AI model training datasets. • Rapidly learned and applied diverse annotation guidelines
• Accurately documented labeling decisions for reference and audit
• Collaborated with peers for quality reviews and process improvements
• Focused on adherence to deadlines and performance standards
Conducted classification and annotation of textual data to generate structured datasets for NLP tasks. Applied quality assurance, accuracy verification, and consistency checking throughout the annotation process. Ensured compliance with annotation guidelines for robust AI model training datasets. • Rapidly learned and applied diverse annotation guidelines • Accurately documented labeling decisions for reference and audit • Collaborated with peers for quality reviews and process improvements • Focused on adherence to deadlines and performance standards
2022 - 2024