yes have 3 years of experience with data annotation as well as data labeling
yes have 3 years of experience with data annotation as well as data labeling
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Data Annotation & Text Mining: Annotate, tag, and curate high-volume, multi-turn conversational datasets, unstructured text, and audio/visual data to train machine learning models. High-Quality Data Labeling: Execute precise data labeling tasks (such as named entity recognition, intent categorization, sentiment analysis, and semantic mapping) based on complex, evolving guidelines. Quality Assurance & Audits: Conduct end-to-end process and quality audits (QA) on labeled data to identify discrepancies, maintain high data consistency, and ensure compliance with Amazon's strict data security and quality standards. Workflow Optimization: Identify bottlenecks in the labeling and annotation pipelines; propose and implement process improvements to increase operational throughput and accuracy. Cross-Functional Collaboration: Partner with data scientists, product managers, and engineering teams to clarify ambiguous data requirements, provide feedback on tooling, and refine annotation guidelines. SME & Mentorship: Act as a Subject Matter Expert (SME) for specific data workflows
yes have 3 years of experience with data annotation as well as data labeling
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have been working as annotation specialist in amazon