Quality Control Review
Handled Evaluation/Rating of AI-generated captions in video clips of physical tasks execution to detect visual-text discrepancies, hallucinations or omissions to increase dataset quality.
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I’ve worked on AI data labeling and training projects through Remotasks and Atlas Capture, where I mainly handled video data annotation and labeling tasks used for training AI models. My work involved object detection, tracking movement across frames, maintaining annotation accuracy, and following detailed project guidelines to ensure high-quality datasets. These experiences helped me develop strong attention to detail, consistency, and the ability to work efficiently under deadlines. What sets me apart is my ability to quickly understand project instructions, adapt to new tools, and maintain quality even during repetitive tasks. I’m comfortable working independently, reviewing data carefully, and contributing to improving AI performance through accurate annotations. I’m also a fast learner with good communication and problem-solving skills, which helps me adjust easily to different AI training projects.
Handled Evaluation/Rating of AI-generated captions in video clips of physical tasks execution to detect visual-text discrepancies, hallucinations or omissions to increase dataset quality.
I handled object detection and object classification using polygons to annotate image containing micro-organisms that can be found in a tissue scan of the human body.
I performed Action Recognition and Event Tagging through Temporal Segmentation of short video clips containing simple tasks that can be performed in the kitchen to prepare food.
B.Sc, Mathematics
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