Data Annotator – Multimodal AI Training & Labeling
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Data CollectionWorked on large-scale data annotation projects focused on training and improving AI and machine learning models. Responsibilities included labeling, reviewing, and organizing text and image datasets to ensure high-quality structured training data. Tasks performed included: Text annotation and categorization based on predefined guidelines Intent and sentiment labeling for NLP datasets Image annotation, classification, and metadata tagging Data validation and quality assurance review Reviewing edge cases and resolving annotation inconsistencies Maintaining annotation accuracy across large datasets Following detailed project instructions and meeting turnaround deadlines Contributed to dataset preparation used for AI model training, evaluation, and performance improvement across multiple annotation workflows. Maintained high quality standards through guideline compliance, double-check review processes, and consistent accuracy checks.
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