Data Annotator at Hugo Technologies Ltd (Lagos, Nigeria).
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SegmentationServed as a Data Annotator performing complex annotation across multiple data modalities, including high-resolution imagery, NLP datasets, time-series data, audio, video, and multi-sensor fusion systems, while following detailed and evolving project guidelines. Interpreted sophisticated annotation protocols to ensure contextually accurate labels aligned with machine learning model training objectives. Conducted rigorous quality assurance and validation reviews for both personal and peer annotations to identify inconsistencies, edge cases, and labeling errors. • Collaborated with Data Scientists, Machine Learning Engineers, Product Teams, and Subject Matter Experts to align on labeling objectives and domain complexities. • Used advanced annotation platforms and AI-assisted labeling tools, including scripting/automation where applicable, to improve efficiency, consistency, and scalability. • Documented annotation activities, edge-case decisions, quality findings, and workflow insights to support transparency and continuous process optimization. • Contributed to annotation best practices, scalable methodologies, and quality assurance frameworks through continuous learning and training.