AI Data Trainer / Data Labeling Specialist, Outlier (Remote)
Annotated and labeled datasets for AI and machine learning projects with a focus on high accuracy. Reviewed and validated labeled outputs to ensure consistency and quality standards aligned with project guidelines. Categorized text, images, and audio data to assist in training AI models. • Applied project-specific labeling rules consistently • Performed quality checks on labeled data • Detected and corrected labeling errors and inconsistencies • Coordinated with team members on annotation workflow improvements.