AI Data Annotation
Performed Labeling on high resolution product images to support machine learning models for quality control. Utilized Scale AI to annotate defects, rare anomalies, and edge cases, ensuring high quality training data.
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I bring a strong background in quality control, operational vigilance, and process compliance from my experience in logistics, production, and customer-focused roles. My work as a production and warehouse operative involved meticulous visual inspections, barcode scanning, and strict adherence to protocols—skills directly transferable to data labeling and annotation tasks where accuracy and attention to detail are critical. I am proficient in basic Python programming and Microsoft Office, which enables me to efficiently manage, review, and document large datasets. My ability to follow detailed guidelines, combined with strong observation, incident reporting, and communication skills, ensures that I can contribute effectively to high-quality AI training data projects across domains such as computer vision or e-commerce. I am committed to maintaining data integrity and delivering reliable results in fast-paced, high-stakes environments.
Performed Labeling on high resolution product images to support machine learning models for quality control. Utilized Scale AI to annotate defects, rare anomalies, and edge cases, ensuring high quality training data.
Master of Science, Logistics and Supply Chain Management
Bachelor of Science, Agricultural Engineering
Production Operative
Warehouse Operative