[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-annotation-jobs-in-united-kingdom":3},{"Ques":4,"Slug":16,"Header":17,"job_category":27},{"title":5,"content":6},"Frequently Asked Questions About Robotics Annotation Jobs",[7,10,13],{"A":8,"Q":9},"Robotics data annotation involves labeling complex datasets, such as LiDAR point clouds and 2D\u002F3D video feeds, to train autonomous systems. It is a specialized form of computer vision annotation crucial for spatial awareness and navigation in AI models.","What is robotics data annotation?",{"A":11,"Q":12},"Yes, these full-time engineering positions at Rex.zone are 100% remote for professionals based in the United Kingdom, offering flexible workflows while collaborating with global AI labs.","Are these robotics annotation roles fully remote?",{"A":14,"Q":15},"Candidates need expertise in 3D bounding boxes, sensor fusion, LiDAR labeling, and QA evaluation. Familiarity with LLM training pipelines, RLHF, and strict annotation guidelines compliance is highly valued for model performance improvement.","What skills are required for a mid-senior robotics annotator?","robotics-annotation-jobs-in-united-kingdom",{"desc":18,"title":19,"content":20},"Discover remote full-time robotics annotation jobs in the United Kingdom. Join Rex.zone to power AI training pipelines through advanced computer vision annotation, LiDAR labeling, and 3D sensor fusion data quality assurance for autonomous machine learning models.","Robotics Annotation Jobs in United Kingdom",[21,24],{"h2":22,"desc":23},"Robotics Annotation Specialist","Title: Robotics Annotation Specialist\nDate: 21-10-2026\nCompany: Rex.zone\nCountry: United Kingdom\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Robotics Annotation, Computer Vision, LiDAR Labeling, 3D Bounding Boxes, Sensor Fusion\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nAs a Robotics Annotation Specialist at Rex.zone, you will play a critical role in shaping the future of autonomous robotics systems. Working remotely in the United Kingdom, you will process complex spatial datasets, ensuring high training data quality for machine learning models. Your daily tasks will involve computer vision annotation, LiDAR point cloud labeling, and sensor fusion QA evaluation. By adhering strictly to annotation guidelines compliance, you will directly contribute to model performance improvement for top AI labs and tech startups.",{"h2":25,"desc":26},"Key Responsibilities and ML Workflows","In this mid-senior engineering role, you will manage end-to-end data labeling pipelines for robotics AI. Responsibilities include 3D bounding box annotation, semantic segmentation for computer vision, and named entity recognition for robotics command logs. You will collaborate with AI\u002FML engineers to refine prompt evaluation and content safety labeling for robotic interfaces. Your expertise in spatial data and RLHF (Reinforcement Learning from Human Feedback) will ensure that our large language model evaluation and spatial navigation algorithms meet the highest industry standards.","AI Data Operations"]