Mathematics and Biology AI Data Labeler & Evaluator
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Contributed to AI training by labeling and evaluating educational data in mathematics and biology domains. Tasks included classifying text-based academic content, annotating biology images for object segmentation, and evaluating data quality to ensure consistent and accurate AI model training. Collaborated with teams to adhere to strict annotation guidelines, delivering high-quality datasets that improved AI accuracy for educational applications. Project involved handling large-scale datasets and maintaining quality standards through regular audits and feedback loops.
Contributed to AI training by labeling and evaluating educational data in mathematics and biology domains. Tasks included classifying text-based academic content, annotating biology images for object segmentation, and evaluating data quality to ensure consistent and accurate AI model training. Collaborated with teams to adhere to strict annotation guidelines, delivering high-quality datasets that improved AI accuracy for educational applications. Project involved handling large-scale datasets and maintaining quality standards through regular audits and feedback loops.
2024 - 2024