Discover full-time remote Robot Action Annotation Jobs in Canada at Rex.zone. Join our engineering team to power AI training pipelines through precise data labeling, spatial tracking, and computer vision annotation. Improve model performance and training data quality for advanced robotics and large language model evaluation.
Title: Robot Action Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Canada Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robot Action Annotation, Computer Vision, Data Labeling, RLHF, Spatial Tracking, Video Annotation Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a senior data labeling expert at Rex.zone, you will shape the future of physical AI. Your primary focus will be computer vision annotation, tracking robotic kinematics, and ensuring annotation guidelines compliance. This remote role involves evaluating complex robotic interactions, conducting QA evaluation, and providing RLHF (Reinforcement Learning from Human Feedback) for advanced robotics models. You will directly contribute to model performance improvement by curating high-quality datasets for AI labs and tech startups.
Your day-to-day tasks will include video annotation of robotic movements, content safety labeling, and named entity recognition within spatial environments. You will collaborate with freelance and full-time remote teams to refine LLM training pipelines and execute prompt evaluation for multimodal AI systems. Ensuring training data quality is paramount as you build the foundation for next-generation autonomous systems.
A Robot Action Annotation Specialist is an AI data labeling expert who focuses on computer vision annotation for robotics. They track movements, label spatial data, and apply RLHF to improve model performance and training data quality for autonomous systems.
Yes, these are full-time remote roles available for candidates based in Canada. Rex.zone offers flexible online jobs that allow you to contribute to cutting-edge AI labs and LLM training pipelines from anywhere in the country.
Candidates need strong attention to detail, experience with data labeling tools, and an understanding of QA evaluation. Familiarity with RLHF, named entity recognition, and annotation guidelines compliance is highly valued for this mid-senior engineering role.
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