Explore full-time remote robotics annotation job opportunities in Argentina with Rex.zone. As a data labeling expert, you will power AI training pipelines by providing high-quality computer vision annotation, 3D bounding boxes, and sensor fusion data labeling. Join our global remote team to improve model performance for autonomous systems and robotics. Whether you specialize in LiDAR point clouds, named entity recognition, or QA evaluation, these remote roles offer the chance to shape the future of artificial intelligence and machine learning right from Argentina.
Title: Remote Robotics Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Argentina Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: Robotics Annotation, Computer Vision, Data Labeling, 3D Bounding Boxes, LiDAR, Sensor Fusion, AI/ML Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
In this remote role, you will execute complex computer vision annotation and data labeling tasks essential for robotics and autonomous vehicle LLM training pipelines. Your daily workflows will include RLHF (Reinforcement Learning from Human Feedback), strict annotation guidelines compliance, and QA evaluation of spatial data. By accurately labeling LiDAR data and semantic segmentation, you directly contribute to model performance improvement for global AI labs and tech startups.
As a senior remote robotics annotator, you will process large-scale datasets using advanced computer vision annotation tools. Responsibilities include 2D/3D bounding box creation, video tracking, and content safety labeling. You will perform prompt evaluation and QA evaluation to ensure training data quality meets the rigorous standards of Rex.zone. Collaborate with freelance, contract, and full-time engineers to refine annotation guidelines and optimize AI/ML training pipelines.
A remote robotics annotation specialist is a data labeling expert who works online to categorize and label visual data, such as LiDAR and 3D bounding boxes, helping to train computer vision models and improve AI/ML autonomous systems.
Yes, these are 100% remote roles. As long as you have a stable internet connection in Argentina, you can join Rex.zone to work on cutting-edge LLM training pipelines and computer vision annotation projects.
Candidates need strong attention to detail, experience with computer vision annotation, and familiarity with annotation guidelines compliance. Knowledge of RLHF, QA evaluation, and sensor fusion data is highly valued for these mid-senior engineering roles.
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