NLP & Sentiment Analysis Annotation
Labeled customer support interactions for sentiment, intent, and entity extraction. Streamlined processes with remote teams and reduced labeling errors.
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Remote SaaS support and customer service professional with 5+ years’ experience managing large datasets, optimizing workflows, and delivering exceptional service across global clients. Skilled in structured data management, knowledge base maintenance, and process documentation, with a strong focus on accuracy, consistency, and operational efficiency. Experienced in annotating text, CRM logs, and operational data for AI training and machine learning projects. Proficient in labeling tools including Labelbox and CVAT, with a proven ability to quickly learn new platforms and apply workflow optimization strategies in remote, cross-functional environments.
Labeled customer support interactions for sentiment, intent, and entity extraction. Streamlined processes with remote teams and reduced labeling errors.
Annotated and classified CRM logs and support tickets for AI/ML model training. Developed labeling guidelines and performed QA checks to maintain high dataset accuracy.
Transcribed audio segments and labeled text for classification, intent tagging, and NLP model training. Applied QA processes to maintain 95%+ accuracy.
Annotated image datasets with polygons and bounding boxes for object detection and segmentation tasks. Maintained high accuracy and documented edge cases.
Annotated scanned PDFs and images, labeling paragraphs, tables, and forms. Performed transcription and QA checks to ensure dataset quality.
Bachelor of Science, Land Administration
Customer Service Representative
Technical Support Specialist