Associate

Company Description KDG - CodeHub is a technology-driven IT services and consulting company focused on delivering reliable, scalable, and innovative digital solutions to businesses worldwide. The organization specializes in AI data annotation, data labeling, and quality assurance to help clients build high-quality datasets that power Artificial Intelligence and Machine Learning applications. Its expertise spans image and video annotation, 3D LiDAR annotation, data segmentation and classification, and rigorous quality control, supported by an experienced and scalable workforce.

In addition to AI data services, KDG - CodeHub is expanding across the broader IT industry with technology consulting, software solutions, web development, and other digital services that enable businesses to adapt and grow. The company emphasizes long-term partnerships through technical excellence, transparent communication, and a strong commitment to measurable results.

Role Description The Associate role is a full-time, remote position responsible for supporting AI data projects and IT service initiatives across KDG - CodeHub. Day-to-day tasks may include annotating and labeling image, video, and 3D LiDAR data, performing data segmentation and classification, and assisting with quality assurance checks to ensure accuracy and consistency. The Associate will collaborate with project leads to meet timelines, follow established guidelines and standards, and document work clearly for internal tracking and client reporting.

The role may also involve contributing to basic IT support, participating in web and digital solution projects, and helping refine workflows and processes. This position requires strong attention to detail, effective communication, and the ability to work independently in a remote environment while coordinating with global team members.

Qualifications

• Candidates should possess skills in data annotation and labeling, including experience or strong interest in image, video, and 3D LiDAR annotation.
• Candidates should possess skills in data segmentation, data classification, and basic data validation or quality control practices.
• Candidates should possess skills in IT and digital technologies, such as familiarity with web applications, software tools, and general IT services or consulting environments.
• Candidates should possess skills in documentation and communication, including clear written communication, reporting of findings, and collaboration with cross-functional teams.
• Additional beneficial qualifications include experience with AI/ML projects, knowledge of annotation tools, strong analytical and problem-solving abilities, and the ability to learn new technologies quickly.
• A relevant academic background in computer science, information technology, engineering, data science, or a related field is preferred but not mandatory; equivalent practical experience is also valued.
• Ability to work remotely with reliable internet access, manage time effectively, follow detailed guidelines, and maintain high accuracy under project deadlines.