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Data Collection
ClassificationFreelancer Overview
I have intermediate experience in data labelling and AI training data projects, working with image, text, audio, and document annotation tasks. My experience includes data classification, sentiment analysis, content moderation, named entity recognition (NER), image annotation using bounding boxes and segmentation, and quality assurance reviews. I am skilled at following detailed annotation guidelines, maintaining high accuracy, identifying edge cases, and ensuring consistency across large datasets. I have also worked with AI-generated outputs, evaluating and correcting responses to improve model performance and reliability. What sets me apart is my strong attention to detail, ability to learn new annotation frameworks quickly, and commitment to delivering high-quality labeled data within deadlines. I understand the importance of data quality in training effective AI models and consistently focus on accuracy, compliance, and continuous improvement. My analytical mindset, problem-solving skills, and experience working independently and collaboratively enable me to contribute effectively to AI training and data annotation projects.