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Appen
EncordRemotasksRoboflowScale AISuperAnnotateNo subject matter listed
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VideoI am an experienced Data Annotation Specialist with a strong background in both image and language data labeling for AI training across platforms such as Flipside.AI, Remotask.AI, Roboflow.AI, and Outlier.ai. My expertise spans computer vision tasks—including bounding boxes, polygons, segmentation masks, and keypoints—as well as complex text annotation involving sentiment, intent, and semantic labeling in multiple languages. I have a proven track record of maintaining 98%+ accuracy, leading and mentoring annotation teams, and implementing quality assurance frameworks that enhance annotation consistency and inter-annotator agreement. My collaborative approach enables me to work seamlessly with QA teams, project managers, and ML engineers to ensure that annotation outputs align with evolving guidelines and project objectives, even when handling large-scale datasets under tight deadlines. I am passionate about delivering high-quality data that drives reliable AI models.
Handling large-scale, complex projects while maintaining precision, consistency, and strict quality standards to enable high-performing AI and ML models.
Bachelor of Science, Information Technology
Data Annotation Specialist
