Sora
Text to Video and Video to Text for Sora Training
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As an intermediate AI Trainer with 1–3 years of experience, I specialize in training and refining machine learning models through high-quality data annotation and Reinforcement Learning from Human Feedback (RLHF). My work spans both text-based and image-based AI systems, including labeling visual datasets for autonomous driving—such as detecting road signs, pedestrians, and lane markings—and satellite imagery analysis to support object detection and environmental mapping applications. I bring a strong understanding of computer vision workflows, ensuring pixel-accurate segmentation, bounding box labeling, and classification consistency across large datasets. My background also includes quality control for multi-modal AI training data, contributing to improved model precision and reduced bias. By combining analytical rigor with a passion for AI alignment, I aim to help train smarter, safer, and more context-aware systems capable of understanding both visual and textual information at scale.
Text to Video and Video to Text for Sora Training
Bachelor's in Computer Science, Computer Science
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