Data annotator
ImageBounding Box
Labeled and annotated diverse datasets (text, images, or multimodal data) to train machine learning models
Evaluated AI-generated outputs for accuracy, relevance, and safety
Applied detailed annotation guidelines to ensure consistency and reliability across datasets
Identified edge cases, ambiguities, and errors in model outputs, providing structured feedback
Collaborated with quality assurance teams to review and improve annotation standards
Maintained high throughput while meeting strict quality benchmarks
Labeled and annotated diverse datasets (text, images, or multimodal data) to train machine learning models Evaluated AI-generated outputs for accuracy, relevance, and safety Applied detailed annotation guidelines to ensure consistency and reliability across datasets Identified edge cases, ambiguities, and errors in model outputs, providing structured feedback Collaborated with quality assurance teams to review and improve annotation standards Maintained high throughput while meeting strict quality benchmarks
2025 - 2026