Data anotation/ labeler
• Specialized in Reinforcement Learning from Human Feedback (RLHF), evaluating and ranking AI-generated responses to improve model performance, safety, and alignment.
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• Executed large-scale data annotation projects, including image segmentation, object detection, and text classification, ensuring datasets met stringent quality standards. • Specialized in Reinforcement Learning from Human Feedback (RLHF), evaluating and ranking AI-generated responses to improve model performance, safety, and alignment. • Collaborated with project managers and engineers to understand annotation guidelines, resolve ambiguities, and provide feedback to enhance data collection processes. • Consistently exceeded accuracy and productivity targets, contributing to the successful deployment of several key AI models for enterprise clients.
• Specialized in Reinforcement Learning from Human Feedback (RLHF), evaluating and ranking AI-generated responses to improve model performance, safety, and alignment.
• Performed precise and consistent data labeling across various data types, including text, audio, and image, for machine learning applications. • Contributed to the development and refinement of labeling guidelines to improve data quality and team efficiency. • Participated in quality assurance reviews, identifying and correcting labeling errors to ensure the integrity of the training data. • Gained foundational experience in RLHF by providing human feedback on model outputs to guide AI behavior.
Bachelor of Science, Data Science and Governance
Data and AI sales
Project management officer