Data Annotator, Outlier AI
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As a Data Annotator at Outlier AI, I labeled data including text, images, video, and audio to train AI models for improved understanding and accuracy. My work involved bounding boxes, polygon annotation, and sentiment analysis to ensure high-quality labeled datasets. I contributed to the accuracy and diversity of AI models through precise annotation and classification tasks.
• Labeled multimodal data types (text, images, video, audio) for AI algorithm training.
• Performed bounding box and polygon annotations for object detection and segmentation.
• Conducted sentiment analysis to classify textual data as positive, negative, or neutral.
• Ensured data quality and annotation consistency at every stage.
As a Data Annotator at Outlier AI, I labeled data including text, images, video, and audio to train AI models for improved understanding and accuracy. My work involved bounding boxes, polygon annotation, and sentiment analysis to ensure high-quality labeled datasets. I contributed to the accuracy and diversity of AI models through precise annotation and classification tasks. • Labeled multimodal data types (text, images, video, audio) for AI algorithm training. • Performed bounding box and polygon annotations for object detection and segmentation. • Conducted sentiment analysis to classify textual data as positive, negative, or neutral. • Ensured data quality and annotation consistency at every stage.
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