AI Data Labeling Specialist
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AI Data Labeling Specialist (Outlier AI). Core strengths include Other and Labelbox. Education includes National Diploma, Ekiti State University. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Classification, Entity (NER), and Bounding Box.
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Labeled and annotated large volumes of text, image, and audio datasets to support supervised machine learning model training. Performed multiple annotation formats including bounding box, polygon, and semantic segmentation to generate high-quality supervision signals. Maintained guideline compliance and high accuracy through self-review and coordination with QA teams. • Annotate text data for supervised learning workflows • Apply bounding box and polygon annotations for visual data • Create semantic segmentation labels for image datasets • Collaborate to resolve labeling inconsistencies and meet deadlines
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Completed text classification, sentiment analysis, and named entity recognition (NER) labeling tasks for conversational AI training. Produced intent detection and dialogue quality rating labels to support dialogue-oriented machine learning models. Ensured consistency and compliance with project-specific labeling schemas and ontologies. • Label text classification categories and sentiment labels • Perform NER annotation for entity spans/types • Annotate intent detection and dialogue quality/rating signals • Follow labeling schemas and ontologies for consistency
National Diploma, N/A
Hard worker