Data Annotation Specialist
Annotating and Labelling objects in traffic with attributes
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Data Annotator, AWARRI. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N, A, and Toloka. Education includes Bachelor of Technology, Ladoke Akintola University of Technology (2023). AI-training focus includes data types such as Image and labeling workflows including Classification.
Annotating and Labelling objects in traffic with attributes
As a Data Annotator at AWARRI, I annotated and labeled diverse datasets to aid in machine learning model training. I worked closely with data scientists to ensure all labeling met project requirements. I demonstrated high data precision and fact-checking skills throughout my contributions. • Labeled large quantities of data within set deadlines. • Ensured strict adherence to guidelines for annotation quality. • Utilized technical knowledge to improve data accuracy. • Provided feedback for process optimization.
As a Data Annotation Specialist at Toloka.ai, I contributed detailed annotations for autonomous vehicle datasets. I maintained a high standard of accuracy for both image and text data labeling. My work supported advanced artificial intelligence applications in the autonomous vehicle domain. • Achieved 98% labeling accuracy in large datasets. • Handled labeling tasks involving both images and text. • Followed stringent standards for AI data precision. • Participated in quality assurance and review processes.
Bachelor of Technology, Computer Science
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Graphics Design