AI Training / Image Data Annotation (Remote)
Collected and submitted real-world data to improve model understanding of everyday contexts. Gathered photographs of household items, daily activities, and environmental scenes aligned with project requirements. Annotated and labeled image datasets according to detailed guidelines, and created prompts to test reasoning performance.• Collected real-world images of household items, activities, and scenes.• Labeled images using detailed project annotation guidelines.• Created and reviewed prompts designed to evaluate AI reasoning.• Submitted annotated datasets for training improvements.