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CVAT
Scale AI
TelusNo subject matter listed
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VideoI have extensive experience supporting data labeling and AI training workflows across a wide range of domains, including natural language processing, computer vision, and multimodal systems. My strengths include producing high-quality annotations, applying detailed labeling guidelines consistently, and identifying edge cases that materially improve model performance. I’m skilled in tasks such as text classification, entity recognition, sentiment analysis, content moderation labeling, image and video annotation, and prompt–response evaluation for generative models. I work comfortably with large datasets, follow strict quality and confidentiality standards, and adapt quickly to evolving schemas or instructions. What sets me apart is a strong understanding of how labeled data is ultimately used to train and evaluate AI systems. I focus not just on correctness, but on clarity, consistency, and usefulness for downstream modeling. I’m adept at documenting annotation decisions, flagging ambiguous cases, and collaborating with reviewers to refine guidelines and reduce label noise. With a detail-oriented mindset, fast learning curve, and reliability at scale, I consistently deliver accurate training data that improves model robustness and real-world performance.
This project i worked on was based on video annotation which would take about 2 days to complete but with the experience i gain through the years am able to complete with a day with 99% accuracy.
Bachelor of Hospitality And Tourism Management, Hospitality And Tourism Management
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