Discover premier remote Robotics Annotation Jobs in Argentina with Rex.zone. As a robotics data labeling expert, you will power advanced AI/ML training pipelines by providing high-quality computer vision annotation, LiDAR segmentation, and spatial data tracking. This full-time remote role focuses on improving model performance for autonomous systems through precise 3D bounding boxes, sensor fusion evaluation, and rigorous annotation guidelines compliance. Join our global network of AI data operations professionals to shape the future of machine learning, autonomous navigation, and robotic automation.
Title: 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, Computer Vision, LiDAR Annotation, Sensor Fusion, 3D Bounding Boxes, Spatial Data, Machine Learning Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
As a senior contributor to our AI/ML training pipelines, you will specialize in spatial data and computer vision annotation for robotic systems. Working remotely from Argentina, you will process complex datasets including LiDAR point clouds, multi-camera sensor fusion, and kinematic mapping. Your expertise in data labeling and QA evaluation will directly drive model performance improvement for autonomous vehicles, industrial robots, and drone navigation. Rex.zone partners with leading AI labs and tech startups, offering freelance, contract, and full-time opportunities for professionals dedicated to training data quality.
• Execute precise computer vision annotation, including 2D/3D bounding boxes, semantic segmentation, and keypoint tracking for robotics datasets. • Analyze and label sensor fusion data, ensuring strict annotation guidelines compliance across LiDAR, radar, and optical inputs. • Perform QA evaluation on automated labeling outputs to maintain exceptional training data quality. • Collaborate with AI/ML engineering teams to refine prompt evaluation and named entity recognition for robotics command interfaces. • Support large language model evaluation for embodied AI and human-robot interaction systems.
• Proven experience in AI data labeling, specifically within robotics, autonomous driving, or spatial computing domains. • Deep understanding of computer vision annotation tools and 3D spatial navigation. • Strong analytical skills with a focus on QA evaluation and model performance improvement. • Reliable high-speed internet connection and a dedicated remote workspace in Argentina. • Ability to manage full-time, mid-senior level engineering tasks independently in a remote environment.
You will work with diverse datasets including LiDAR point clouds, 3D bounding boxes, multi-camera video feeds, and sensor fusion outputs critical for training autonomous robots.
Yes, this is a 100% remote full-time role. You can work from anywhere in Argentina while collaborating with our global AI data operations team at Rex.zone.
Your precise data labeling and QA evaluation directly enhance the training data quality, enabling machine learning models to better understand spatial environments and improve robotic navigation accuracy.
You need a reliable, high-speed internet connection, a modern computer capable of running complex computer vision annotation platforms, and a secure workspace.
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