Data Annotator – Outlier
As a Data Annotator at Outlier, I perform high-quality data annotation and labelling tasks to support AI and machine learning model training. My responsibilities include reviewing and validating datasets to ensure accuracy, consistency, and compliance with guidelines. I collaborate with cross-functional teams to improve annotation processes and deliver precise results. • Execute detailed label assignments for diverse datasets • Identify and correct inconsistencies to enhance dataset quality • Maintain accuracy while meeting productivity and quality targets • Contribute to the refinement of annotation guidelines and workflow My work cuts across various tasks with different data type: Text, audio, video and images. Labelling type: Bounding box, text generation, object detection, text summarization, reasoning steps / thinking trace correction and transcription.