AI TRAINER
Atlas capture video labelling is based on describing the major actions in video segments.
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I am a detail-oriented AI data specialist with hands-on experience in data annotation, structured labeling, and AI response evaluation for both text and image datasets. My work includes maintaining over 98% accuracy in sentiment, intent, and relevance labeling, as well as conducting quality audits and documenting edge cases to enhance dataset clarity. I am adept at following complex guidelines and rubrics, using tools like Labelbox and Scale Platform, and collaborating efficiently in remote workflows. With a strong background in communication and technical writing, I excel at producing clear documentation and actionable feedback to improve annotation quality. My experience spans projects aligned with Outlier and Scale AI standards, and I am comfortable working with Google Workspace, Microsoft Office, and basic Python for text formatting tasks.
Atlas capture video labelling is based on describing the major actions in video segments.
Bachelor of Arts, Communication Studies
Writing and Documentation Assistant