Video Annotation Skilled — AI & Robotics
Engagement Type: Contract / Project-Based
Work Mode: Fully Remote
Hours: Flexible / Part-Time
Compensation: $50–$90 USD/hour
Experience: Relevant professional experience preferred
About the Project
We are looking for detail-oriented Video Annotation Professionals to contribute to an AI training project involving the review and annotation of videos showing robotic arms performing designated tasks.
In this role, you will analyze video footage, identify key actions and outcomes, and apply detailed annotation and grading guidelines to create high-quality training data for next-generation AI systems.
No prior AI experience is required. Strong visual analysis, domain expertise, attention to detail, and the ability to consistently follow structured guidelines are the most important requirements.
Key Responsibilities
Review video footage of robotic arms performing assigned tasks.
Identify and interpret key actions, events, interactions, and outcomes within video sessions.




Apply detailed grading and annotation guidelines accurately and consistently.
Tag relevant events, actions, objects, and outcomes using designated annotation platforms.
Record structured observations and maintain high-quality annotation standards.
Review ambiguous cases and collaborate with project trainers to ensure consistent interpretation.
Document findings, observations, and potential issues clearly.
Complete assigned annotation volumes within project timelines and milestones.
Participate in quality-control and review processes.
Incorporate reviewer feedback and continuously improve annotation accuracy.
Communicate progress, challenges, and project-related questions through written and verbal channels.
Preferred Qualifications
Previous experience in video annotation, data labeling, image annotation, or similar data-centric projects.
Experience working with AI/ML training datasets is highly preferred.
Exposure to robotics, automation, computer vision, indus

📌 Video Annotation Expert (India)
🏢 Kaliper
📍 India