Data Labelling/Ai Trainer at Uber AI Solutions
Performed dataset annotation and review to support AI model training with strong attention to accuracy and consistency. Conducted quality checks and applied labeling standards to prepare reliable training data for downstream ML workflows. Collaborated with project stakeholders to ensure timely delivery and adherence to confidentiality requirements. • Annotated and reviewed AI training datasets • Performed quality checks to validate label accuracy • Used AI and data management tools to support labeling workflows • Ensured precision and consistency of labeled outputs