Image & Video Annotator

Company Description Escorts Kubota Limited (EKL) is one of India’s leading engineering conglomerates, operating in high-growth sectors such as agri-machinery and construction & material handling equipment. With over 1 million tractors in operation in India and thousands of construction machines manufactured to date, EKL leverages strong engineering expertise to drive innovation in agriculture, construction equipment, and automotive domains. The organization emphasizes a people-centric culture, valuing professional and personal wellbeing as key to creating long-term success. Team members are encouraged to take initiative, stay committed, and support one another in enhancing their skills and capabilities. EKL offers a diverse work environment with multiple opportunities for growth and development for individuals who are determined to achieve their goals.
Role Description This is a full-time, on-site Image & Video Annotator role based in Faridabad. The role involves reviewing, labeling, and annotating images and videos to support machine learning and computer vision projects, ensuring high-quality and consistent data tagging. The Image & Video Annotator will follow defined guidelines, maintain detailed documentation, and collaborate with engineers and data scientists to clarify annotation requirements and improve labeling frameworks. Daily responsibilities include organizing datasets, performing quality checks on annotated content, and suggesting process improvements to enhance accuracy and efficiency. The role may also involve assisting in creating training material for annotation standards and providing feedback on tooling or workflow enhancements.
Qualifications
Candidates should possess skills in Image Editing and Image Processing to accurately modify and analyze visual data for annotation tasks.
Candidates should possess skills in Photography to understand visual composition, lighting, and framing, aiding precise identification of objects and scenes.
Candidates should possess skills in Research to interpret project requirements, understand domain-specific labeling needs, and refine annotation guidelines.
Candidates should possess skills in Training to support onboarding of new annotators and help standardize best practices in annotation workflows.
Strong attention to detail, ability to follow structured guidelines, and commitment to data quality and consistency.
Comfort with using annotation tools and basic computer applications; prior experience with computer vision or AI projects is an advantage.
Effective communication skills and the ability to work collaboratively with cross-functional teams in an on-site environment.
Relevant diploma or degree in engineering, computer science, information technology, or a related field is preferred, though equivalent practical experience will be considered.

Work arrangement
No