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VideoI am an AI training and data labeling specialist with over three years of hands-on experience in annotating and curating high-quality datasets for machine learning projects. My expertise spans a wide range of annotation tasks including text classification, named entity recognition (NER), sentiment analysis, image segmentation, audio transcription, and reinforcement learning from human feedback (RLHF). I have worked extensively on platforms like Remotasks, Labelbox, and Atlas Capture, consistently maintaining a quality score above 98% and collaborating with large teams to ensure guideline consistency and data accuracy. My background includes contributing to AI research benchmarks, moderating sensitive content for trust and safety datasets, and providing actionable feedback to improve AI model performance. I am committed to delivering precise, reliable annotations that power robust computer vision and natural language processing solutions.
The current project I am working on is various video labelling tasks where I vividly describe the actions taking part in the video following the company's guidelines to the letter.
Bachelor Of Science in Software Engineering, Software Engineering
Bachelor of Science, Software Engineering
Software Engineering
Data Verification & Annotation Specialist
