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We are seeking an Image Annotation Specialist with 2–6 years of experience in image annotation or image editing. The role focuses on accurate annotation of 2D/3D images using multiple techniques on a client-developed platform.
Job Responsibility:
Annotate and label images provided by the client with a high level of accuracy
Perform image annotation tasks using a client-developed platform
Apply various annotation techniques including bounding boxes, polygons, 3D cuboids, lines, splines, and semantic/pixel segmentation
Assign identifiers or color codes to entire images or specific regions within 2D/3D images
Handle diverse and evolving datasets while strictly adhering to updated guidelines and instructions
Participate in process-related activities such as reporting, calibration, upskilling, and action plans to meet defined quality and productivity targets
Contribute to workflow improvements and provide constructive feedback to enhance tool functionality and overall process efficiency
Collaborate effectively with team members to ensure clear communication and smooth project delivery
Ensure all annotated outputs meet required quality standards and client guidelines
Manage time efficiently to consistently meet productivity and accuracy expectations
Actively participate in continuous process improvement initiatives
Provide timely and relevant feedback on tasks, tools, and workflows
Requirements:
2 to 6 years of relevant experience in image annotation or image editing
Diploma or graduation in related field
CAD training (mandatory)
Strong computer proficiency and organizational skills
Ability to perform repetitive tasks with consistency and focus
Hands-on experience with image annotation or image editing tools
High attention to detail with strong spatial and analytical abilities
Proactive mindset with the ability to adapt to evolving tools and workflows
Team player with a strong sense of ownership, capable of supporting project milestones
Self-motivated and able to maintain productivity in a remote work environment
Ability to work independently in a remote setup with minimal supervision
Strong commitment to data accuracy, quality, and efficiency