AI Data Training Support (Annotation, Review, Quality Evaluation)
Text
Supported AI data workflows by participating in annotation, review, and quality evaluation of structured data. Focused on ensuring linguistic accuracy, consistency, and reliability of text data for machine learning models. Gained hands-on experience in evaluating and improving the quality of datasets used in AI training processes.
• Assisted with reviewing and annotating text data for clarity and accuracy
• Conducted quality evaluation and error analysis for annotation tasks
• Supported quality control by cross-validating labeled data
• Developed understanding of bias reduction and structured input for ML systems
Supported AI data workflows by participating in annotation, review, and quality evaluation of structured data. Focused on ensuring linguistic accuracy, consistency, and reliability of text data for machine learning models. Gained hands-on experience in evaluating and improving the quality of datasets used in AI training processes. • Assisted with reviewing and annotating text data for clarity and accuracy • Conducted quality evaluation and error analysis for annotation tasks • Supported quality control by cross-validating labeled data • Developed understanding of bias reduction and structured input for ML systems
2025 - Present