Video annotation
Labeled actions, objects, and frames in video clips on Atlas Capture, following project guidelines to ensure accuracy and consistency.
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I am an experienced Data Annotation & Quality Analyst with a strong background in labeling and analyzing structured and unstructured datasets to support AI model training. My work has focused on improving data accuracy, consistency, and integrity, ensuring all outputs meet rigorous project guidelines and quality standards. I am skilled in identifying errors, anomalies, and quality gaps within datasets, and I have a proven ability to collaborate with distributed teams to meet tight deadlines. My expertise includes using CRM systems, Microsoft Excel, Google Workspace, and various research databases, and I am committed to maintaining high levels of data integrity and confidentiality. With a keen eye for detail and a passion for data quality, I am eager to contribute to impactful AI and data labeling projects.
Labeled actions, objects, and frames in video clips on Atlas Capture, following project guidelines to ensure accuracy and consistency.
Completed bounding box labeling on images and videos, accurately tagging objects according to project guidelines.
Worked on business-related text data for AI training and evaluation. Tasks included evaluating AI-generated responses and search results for accuracy, clarity, and relevance, categorizing and labeling text according to project guidelines, and creating prompts and responses to improve AI understanding of business topics. Focused on maintaining accuracy, consistency, and quality throughout all tasks.
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