The Data Annotator / Data Labeller will support our Vision Services Team in improving the accuracy and quality of our deep learning models to achieve excellent performance in projects and competitions by using in-house tools to accurately annotate and label data.

Requirements: As an annotator / labeller, you will be responsible to:Collaborate with researchers to determine and understand input data and annotate by highlighting areas of interest in images and text.Support researchers in training deep learning models through accurately categorizing content, labelling images and annotating data.Report and document issues faced from data annotation to Research team and discuss solutions to improve data.Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models.Contribute to workflow process improvements.

Job Requirements:Preferably with basic computer literacy and design experience.Comfortable to handle large data sets on a regular basis.Ability to work on repetitive tasks efficiently and effectively with minimal errors.Excellent communication, analytical and with good reasoning skills.Possess high motivation with the desire to learn.Proactive attitude.Strong interest in Artificial Intelligence and machine learning, especially in deep learning.

Career Level - IC2