Computer Vision Annotation QA Specialist

You will review image and video annotation batches used to train visual AI systems. Your job is to check that labels are accurate, complete, consistent, and aligned with detailed project guidelines.

You will also correct issues when required, explain errors clearly, and raise unclear cases for clarification.

• Review bounding boxes, segmentation masks, polygons, keypoints, object classes, attributes, image labels, and video tracking outputs.
• Find missing objects, incorrect labels, poorly placed boxes, inaccurate boundaries, duplicate annotations, inconsistent attributes, and unclear edge cases.
• Apply project rules consistently to occlusion, truncation, blur, small objects, overlapping objects, and ambiguous examples.
• Document errors so annotators or project teams can understand what needs improvement.

What it pays and takes

This is a remote, part-time contractor role performed independently. Previous annotation or annotation QA experience is preferred, but the required skills focus on careful review, clear feedback, and following detailed instructions.

• Pay: Up to $2.50 USD per hour.
• Time: 20+ hours per week, with consistent working hours based on project needs.
• Location: Open to candidates in Bangladesh or India.
• Language: Professional proficiency in English for understanding instructions, asking questions, and providing written feedback.
• Experience level: Intermediate.
• Strong attention to detail when reviewing missing, incorrect, inconsistent, overlapping, mislabeled, or poorly placed annotations.
• Ability to review large image and video batches while maintaining accuracy and speed.
• Relevant experience includes computer vision annotation, image annotation, video annotation, annotation QA, or work with annotation platforms.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work uses examples prepared and reviewed by people to help artificial intelligence systems recognize images, understand language, and produce better results. OpenTrain helps people find these projects, build a profile, and apply to roles across the industry.