Data Annotator

Overview

As a Data Annotator, your main responsibility would be to analyze and label data for machine learning and AI projects. You'll be working with different types of data, such as images, text, or audio, and applying specific labels or tags to help train algorithms. Attention to detail and accuracy are crucial in this role to ensure high-quality annotated data. It's an important job that contributes to the development of various technologies and applications.

Responsibilities

You will be in charge of classifying, tagging, labeling, and assessing data in a variety of formats, such as text, video, image, and 3D point cloud data, as a Data Annotator. Your main responsibilities will be to process photos or analyze data sets; refine datasets with various filters; manually mask images; automate Photoshop post processing through batch processing; and analyze and evaluate image quality

Requirements

• Qualifications & Experience: Selected candidates must have completed the Datamaker-KOICA IBS ICT program. • Training program for scholarships. The two (2) week training program is funded by scholarships, which also cover relevant training expenses. • Artificial Intelligence Systems, tools and methods for data annotation, etc. are covered in training modules. • Other Requirements: Successful applicants must possess computer proficiency, organizational skills, and meticulousness, the capacity to fulfill deadlines, communication proficiency, and self-motivation. • Educational Requirements: The candidate must hold a degree, tertiary diploma, or at least a high school certificate. • Work Conditions: The capacity to perform lengthy computer work while seated for extended periods of time.