Explore remote Robotics Annotation Jobs in Philippines with Rex.zone. Join our global team to power AI training pipelines through advanced computer vision annotation, 3D point cloud labeling, and QA evaluation for autonomous systems. As a data labeling expert, your work directly impacts model performance improvement and ensures strict annotation guidelines compliance for next-generation AI models.
Title: Robotics Annotation Specialist Date: 21-10-2026 Company: Rex.zone Country: Philippines 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, QA Evaluation Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR
Are you looking for full-time or freelance remote opportunities in the AI space? Rex.zone is hiring skilled professionals for Robotics Annotation Jobs in Philippines. In this role, you will focus on computer vision annotation and sensor fusion data labeling, essential for training autonomous robots. You will handle complex datasets, including 3D bounding boxes, semantic segmentation, and LiDAR point clouds, ensuring high training data quality for large-scale machine learning operations.
Your daily workflows will involve precise data labeling and QA evaluation for robotics datasets. You will ensure strict annotation guidelines compliance to drive model performance improvement. Responsibilities include spatial tracking, object recognition tasks, and RLHF (Reinforcement Learning from Human Feedback) for robotic behavior models. You will collaborate with AI labs and tech startups, acting as a crucial link in LLM training pipelines and spatial AI development.
Ideal candidates possess a strong background in computer vision annotation and spatial data analysis. Experience with 3D point cloud tools, LiDAR, and sensor fusion is highly preferred. Whether you are seeking a senior remote position or an entry-level contract role, you must demonstrate exceptional attention to detail, a deep understanding of AI model evaluation, and the ability to thrive in a global remote environment.
You will work with diverse spatial datasets, including 2D images, video sequences, and 3D LiDAR point clouds. Tasks involve semantic segmentation, bounding box creation, and object tracking to support computer vision and autonomous navigation models.
Yes, these are 100% remote roles. Rex.zone offers flexible, full-time, and freelance opportunities for professionals based in the Philippines, allowing you to contribute to global AI training pipelines from home.
QA evaluation requires a sharp eye for detail, an understanding of spatial relationships, and strict adherence to project-specific annotation guidelines. Experience with RLHF and reviewing complex computer vision annotation tasks is highly valued.
Your data labeling directly fuels model performance improvement. By providing high-quality, accurately annotated datasets, you enable AI labs and tech startups to train safer, more efficient autonomous robots and intelligent systems.
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