[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-remote-robotics-annotation-job-opportunities-in-portugal":3},{"Ques":4,"Slug":16,"Header":17,"job_category":30},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13],{"A":8,"Q":9},"A remote robotics annotation specialist processes and labels complex visual and spatial data, such as 3D point clouds and video feeds. This data labeling process is essential for training autonomous robots, improving model performance, and ensuring accurate computer vision annotation.","What does a remote robotics annotation specialist do?",{"A":11,"Q":12},"Yes, these are 100% remote roles. As long as you are based in Portugal and have a stable internet connection, you can apply for our full-time, contract, or freelance positions at Rex.zone.","Are these remote jobs available for applicants anywhere in Portugal?",{"A":14,"Q":15},"Key skills include computer vision annotation, familiarity with 3D bounding boxes, and an understanding of AI\u002FML training pipelines. Experience with QA evaluation, RLHF, and maintaining strict annotation guidelines compliance is highly valued.","What skills are required for robotics data labeling at Rex.zone?","remote-robotics-annotation-job-opportunities-in-portugal",{"desc":18,"title":19,"content":20},"Discover full-time and freelance remote robotics annotation job opportunities in Portugal at Rex.zone. Join our global team to improve model performance through high-quality computer vision annotation, 3D point cloud labeling, and sensor fusion data labeling. Shape the future of autonomous systems and AI training pipelines from the comfort of your home.","Remote Robotics Annotation Job Opportunities in Portugal",[21,24,27],{"h2":22,"desc":23},"Remote Robotics Annotation Specialist","Title: Remote Robotics Annotation Specialist\nDate: 21-10-2026\nCompany: Rex.zone\nCountry: Portugal\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Robotics Annotation, Computer Vision, 3D Point Cloud, Sensor Fusion, Lidar Annotation, Data Labeling\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nRex.zone is actively seeking a Remote Robotics Annotation Specialist based in Portugal. In this full-time remote role, you will be at the forefront of large language model evaluation and computer vision annotation. Your primary responsibility is to ensure training data quality and strict annotation guidelines compliance for complex robotic systems. You will handle 3D bounding boxes, semantic segmentation, and QA evaluation for autonomous navigation models. Whether you are looking for contract, freelance, or full-time remote work, this mid-senior position allows you to collaborate with top AI labs and tech startups globally.",{"h2":25,"desc":26},"Key Responsibilities and ML Training Workflows","As a vital part of our AI\u002FML training pipelines, your daily tasks will involve advanced data labeling and RLHF (Reinforcement Learning from Human Feedback). You will execute computer vision annotation on diverse datasets, focusing on spatial awareness and object recognition crucial for robotics. Responsibilities include prompt evaluation, named entity recognition for robotic command interfaces, and rigorous QA evaluation to guarantee model performance improvement. You will work closely with engineering teams to refine content safety labeling and ensure all annotated data meets the highest standards required for next-generation AI models.",{"h2":28,"desc":29},"Required Skills and Qualifications","Candidates must possess a strong background in NLP, computer vision annotation, and spatial data labeling. Experience with LiDAR, radar, and camera sensor fusion is highly preferred. You need a meticulous eye for detail to maintain training data quality and ensure annotation guidelines compliance. Familiarity with LLM training pipelines and RLHF workflows is a significant advantage. We welcome applicants from various backgrounds, including entry-level data annotators looking to specialize, as well as senior experts from BPOs and annotation vendors. A reliable internet connection and the ability to work independently in a remote environment in Portugal are essential.","AI Data Operations"]