AI Training & Data Labeling – Aether Project
TextEvaluation Rating
Worked on the Aether project through Outlier, contributing to multi-modal AI training and data labeling tasks aimed at improving model performance. Responsibilities included evaluating and ranking AI-generated responses across text, image, and video outputs, based on accuracy, relevance, and overall quality.
Provided detailed justifications for selected outputs, ensuring alignment with strict annotation guidelines. Also contributed to response improvement tasks by refining and rewriting outputs to enhance clarity, tone, and usefulness. Handled diverse and context-based inputs, including informal and real-world scenarios, while maintaining high attention to detail and consistency with quality standards.
Worked on the Aether project through Outlier, contributing to multi-modal AI training and data labeling tasks aimed at improving model performance. Responsibilities included evaluating and ranking AI-generated responses across text, image, and video outputs, based on accuracy, relevance, and overall quality. Provided detailed justifications for selected outputs, ensuring alignment with strict annotation guidelines. Also contributed to response improvement tasks by refining and rewriting outputs to enhance clarity, tone, and usefulness. Handled diverse and context-based inputs, including informal and real-world scenarios, while maintaining high attention to detail and consistency with quality standards.
2026 - Present