Discover remote robotics annotation jobs in Sweden at Rex.zone. Power AI training pipelines through computer vision annotation, 3D point cloud data labeling, and QA evaluation for autonomous systems and robotics.
Title: Robotics Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Sweden Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robotics Annotation, Computer Vision, 3D Point Cloud, Sensor Fusion, Data Labeling, AI/ML Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a senior robotics annotation specialist, you will play a critical role in shaping the future of autonomous systems. Working remotely from Sweden, you will collaborate with top AI labs and tech startups to drive model performance improvement through high-quality training data. Your primary focus will be on computer vision annotation, sensor fusion labeling, and spatial data QA evaluation. By ensuring strict annotation guidelines compliance, you directly contribute to large language model evaluation and the safety of robotic navigation pipelines at Rex.zone.
Your daily workflows will involve complex data labeling tasks, including 3D bounding boxes, semantic segmentation, and RLHF (Reinforcement Learning from Human Feedback) for robotic prompt evaluation. You will evaluate training data quality, perform named entity recognition for robotics logs, and execute content safety labeling for human-robot interaction datasets. Whether you are looking for full-time, contract, or freelance opportunities, this remote role demands high precision in AI/ML training pipelines.
A robotics annotation job involves labeling and categorizing data—such as 2D images, 3D point clouds, and sensor logs—to train machine learning models for autonomous robots. This data labeling process is essential for CV and AI/ML training pipelines.
Yes, these are fully remote roles available for professionals based in Sweden. Rex.zone offers flexible online jobs, including full-time, entry-level, and freelance contracts for data annotation specialists.
Candidates need strong attention to detail and experience with CV annotation tools. Familiarity with RLHF, QA evaluation, NLP, and annotation guidelines compliance is highly valued by AI labs and annotation vendors in the AI/ML industry.
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