AI Data Labeling & Search Relevance Evaluation Specialist
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Text GenerationProject Description: Worked on AI training and data labeling projects through Toloka AI focused on improving machine learning models for search relevance, content moderation, and image/text understanding. The work involved reviewing datasets, following detailed annotation guidelines, and ensuring accurate labeling for AI model training and evaluation. Specific Data Labeling Tasks: Text classification and sentiment labeling Search relevance evaluation and ranking Image annotation and object identification Content moderation and policy compliance review Data verification and quality checking Comparing AI-generated responses for accuracy and usefulness Project Size: Completed hundreds of microtasks across multiple AI training and annotation projects over an extended period while maintaining consistent accuracy and productivity. Quality Measures: Followed strict annotation guidelines and quality standards Maintained high accuracy and consistency in submitted tasks Performed self-review before submission to reduce errors Met project deadlines and productivity targets Adapted quickly to updated instructions and feedback from project reviewers