Data Labeler – Atlas Capture
ImageClassification
Annotated and labeled datasets to support AI model training and development. Applied annotation logic to classify errors, define label granularity, and followed strict object/action rules. Ensured accuracy and consistency across large volumes of data, meeting project deadlines. • Built reference guides and decision charts to streamline annotation processes.
• Collaborated with remote teams for adaptation to evolving guidelines.
• Maintained high annotation accuracy and quality assurance standards.
• Improved annotation workflow efficiency through optimized processes.
Annotated and labeled datasets to support AI model training and development. Applied annotation logic to classify errors, define label granularity, and followed strict object/action rules. Ensured accuracy and consistency across large volumes of data, meeting project deadlines. • Built reference guides and decision charts to streamline annotation processes. • Collaborated with remote teams for adaptation to evolving guidelines. • Maintained high annotation accuracy and quality assurance standards. • Improved annotation workflow efficiency through optimized processes.
2026 - Present