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Freelancer Overview
I am a detail-oriented AI Trainer and Data Labeler with over three years of experience supporting machine learning projects through accurate data annotation and rigorous quality assurance. My background includes annotating text, image, and conversational datasets, as well as reviewing and rating AI-generated outputs for accuracy, safety, and bias. I have a strong track record of maintaining high-quality standards, consistently achieving over 98% accuracy in labeling tasks, and providing structured feedback to enhance model performance. I am skilled in applying detailed guidelines, recognizing patterns, and participating in calibration sessions to ensure team consistency. I am proficient with tools such as Labelbox, Scale AI, Label Studio, and Prodigy, and have hands-on experience in content moderation, RLHF, and documentation. My analytical mindset, attention to detail, and commitment to ethical AI make me a reliable contributor to any data labeling or AI training initiative.
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