Data Annotation
Video
Data CollectionRoles And Responsibilities: Annotated and labeled diverse datasets, including text, images, audio, and video, maintaining accuracy standards required for machine learning model training across multiple client projects. Collected and curated structured and unstructured data in line with project-specific guidelines, supporting the development of natural language processing and computer vision AI models. Reviewed and quality-checked annotated data submitted by team members, identifying errors and inconsistencies to uphold dataset integrity and meet client quality benchmarks. Applied classification, transcription, sentiment tagging, and entity recognition techniques across multilingual datasets, adapting to varying annotation schemas across different AI training tasks. Met productivity and accuracy targets consistently across two years of project delivery, contributing to on-time completion of data pipelines for global AI clients. Collaborated with cross-functional teams and project managers to clarify annotation guidelines, resolve edge cases, and ensure consistent labeling practices across distributed workflows.