Voice and image data labeler – Aligner
I worked on short-term multimodal annotation tasks for Aligner, labelling both voice and image datasets. Responsibilities included classifying audio clips by tone, clarity, emotion, and speaker characteristics, as well as categorising images by content, visual features, and required attributes. Work followed detailed guidelines ensuring consistency, quality, and accurate tagging across high-volume batches.