Freelance Data Annotation Specialist
LabelboxTextClassification
Delivered high-accuracy annotation for text, image, and audio datasets supporting AI and ML applications. Enhanced machine learning model performance by ensuring consistent and precise labeling standards. Specialized in multilingual annotation, sentiment analysis, and large-scale dataset validation across NLP, computer vision, and classification projects.
• Achieved and maintained over 98% annotation accuracy with strict QA benchmarks
• Utilized Labelbox and CVAT for workflow management and large-scale data handling
• Developed improved annotation workflows, reducing time and increasing consistency
• Collaborated closely with data scientists to refine guidelines and reduce dataset ambiguity
Delivered high-accuracy annotation for text, image, and audio datasets supporting AI and ML applications. Enhanced machine learning model performance by ensuring consistent and precise labeling standards. Specialized in multilingual annotation, sentiment analysis, and large-scale dataset validation across NLP, computer vision, and classification projects. • Achieved and maintained over 98% annotation accuracy with strict QA benchmarks • Utilized Labelbox and CVAT for workflow management and large-scale data handling • Developed improved annotation workflows, reducing time and increasing consistency • Collaborated closely with data scientists to refine guidelines and reduce dataset ambiguity
2021 - Present