[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-robotics-annotation-jobs-in-poland":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 Robotics Annotation Specialist focuses on computer vision annotation and sensor data labeling to build high-quality datasets. This ensures optimal training data quality for autonomous robots and AI\u002FML training pipelines.","What does a Robotics Annotation Specialist do at Rex.zone?",{"A":11,"Q":12},"Yes, these are full-time remote roles. We hire top talent in Poland to work online, providing flexible opportunities for both entry-level and senior data labeling experts.","Are these robotics annotation jobs fully remote?",{"A":14,"Q":15},"Modern robotics increasingly rely on multimodal AI. Your work in QA evaluation, prompt evaluation, and RLHF directly contributes to the model performance improvement of systems that blend visual data with LLM training pipelines.","How does this role impact large language model evaluation?","robotics-annotation-jobs-in-poland",{"desc":18,"title":19,"content":20},"Discover remote robotics annotation jobs in Poland at Rex.zone. Power AI training pipelines through precise computer vision annotation, data labeling, and QA evaluation for autonomous systems.","Robotics Annotation Jobs in Poland",[21,24,27],{"h2":22,"desc":23},"Robotics Annotation Specialist","Title: Robotics Annotation Specialist\nDate: 21-10-2026\nCompany: Rex.zone\nCountry: Poland\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Robotics Annotation, Computer Vision, Data Labeling, LiDAR Annotation, Sensor Fusion, RLHF\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR\n\nRex.zone is actively recruiting for Robotics Annotation Jobs in Poland. As a remote data labeling expert, you will be integral to our AI\u002FML training workflows. This full-time remote role requires you to define and refine training data quality for autonomous systems. You will bridge the gap between human intelligence and machine learning by providing high-fidelity computer vision annotation, RLHF evaluation, and QA evaluation for cutting-edge AI labs and tech startups.",{"h2":25,"desc":26},"Core Responsibilities and AI\u002FML Workflows","Your daily tasks will center on model performance improvement through rigorous annotation guidelines compliance. You will handle complex computer vision annotation tasks, including 3D bounding boxes, semantic segmentation, and LiDAR sensor fusion labeling. Additionally, you will participate in prompt evaluation, named entity recognition, and content safety labeling to support broader LLM training pipelines and multimodal large language model evaluation.",{"h2":28,"desc":29},"Role Requirements and Qualifications","We are seeking mid-senior professionals with a strong background in data labeling and QA evaluation. Ideal candidates have experience working with annotation vendors, BPOs, or AI labs on robotics and autonomous vehicle datasets. You must be comfortable working in a fully remote, contract, or freelance capacity, demonstrating exceptional attention to detail in spatial data and RLHF (Reinforcement Learning from Human Feedback) methodologies.","AI Data Operations"]