Data Labeler at Aya Data ai
I managed to tag more than 20,000
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I am a detail-oriented data annotator with over 3 years of hands-on experience delivering high-quality training data for AI and machine learning projects. My expertise spans a wide range of annotation tasks, including bounding boxes, polygonal and semantic segmentation, panoptic segmentation, 3D cuboids, key-point annotation, named-entity recognition, and sentiment analysis. I am highly proficient with industry-standard tools such as CVAT, LabelMe, Labelbox, and Label Studio, and have supported projects in computer vision and NLP domains. I leverage my strong data analysis skills with Excel, Tableau, and Power BI to ensure accurate, clean, and unbiased datasets through a rigorous human-in-the-loop review process. I pride myself on my ability to manage multiple projects simultaneously, communicate effectively with clients and teams, and consistently deliver reliable results that drive high-performing AI systems.
I managed to tag more than 20,000
Diploma, Accounting
Certificate, Data Analysis
Data Labeler
Operations Manager