General Data Annotator

-Candidates must reside in PH
-Full-time, Flexible Work Schedule (40 hours/week)
-Work From Home/Remote Work

The Data Annotator / Data Labeler 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.

Job Responsibilities:
As an annotator / labeler, you will be responsible to:
• Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest of images
• 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

• Preferably with basic computer literacy and IT experience
• At least 1 year professional experience
• Transcription experience required
• 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