Data Annotator
Annotating and reviewing image and videos datasets with boxes to mark objects using bounding boxes to enhance computer vision model training.
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Data Annotator. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, Federal University of Technology Akure (2018). AI-training focus includes data types such as Image and Text and labeling workflows including Classification and Entity (NER) Classification.
Annotating and reviewing image and videos datasets with boxes to mark objects using bounding boxes to enhance computer vision model training.
As a Data Annotator at Atlas, I contributed to the optimization of AI model performance through high-quality data labeling. I focused on minimizing errors and ensuring precise annotation across diverse and complex models. My role required meticulous attention to diverse data sets and strict adherence to quality standards. • Identified patterns and trends in annotated data to assist machine learning analysis. • Delivered accurate annotated data to reduce errors in AI systems. • Maintained optimal quality levels to prevent critical mistakes and support team goals. • Demonstrated proficiency across layers of annotation complexity.
At Hugo Tech, I was responsible for annotating and labeling multiple large datasets for machine learning and artificial intelligence systems. The tasks encompassed work with text, images, and video, preparing data for use in features such as autonomous vehicles and speech-to-text models. I adhered closely to annotation requirements, guidelines, and standard procedures. • Labeled datasets including natural language text, images, and video for AI/ML applications. • Followed strict data requirements and guidelines for data usability. • Helped teach ML models to recognize and produce relevant output from unstructured data. • Gained competency in diverse annotation tools and methodologies.
Bachelor of Technology, Fisheries and Aquaculture Technology
Data Annotator
Data Annotator