Robotics Annotation Specialist

RemoExperts; Philippines; Teletrabalho; PHP 670 000 - 1 116 000; Tempo integral

Resumo da oferta

Rex.zone in the Philippines is hiring for remote Robotics Annotation roles, offering full-time and freelance opportunities to contribute to AI training pipelines. You will label 2D/3D data, including 3D bounding boxes, semantic segmentation, and LiDAR point clouds, and perform QA to ensure annotation guidelines are followed.

Candidates should have a strong background in computer vision annotation and spatial data analysis, with experience in LiDAR and sensor fusion.

Qualificações

• Strong background in computer vision annotation and spatial data analysis.
• Experience with 3D point clouds, LiDAR, and sensor fusion is preferred.

Responsabilidades

• Label 2D images, 3D bounding boxes, and semantic segmentation.
• Perform QA evaluation to ensure adherence to annotation guidelines.
• Handle spatial tracking and object recognition tasks; contribute to RLHF for robotic models.

Conhecimentos

Computer vision

3D point cloud

LiDAR

Ferramentas

3D labeling tools

Descrição da oferta de emprego

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.

About The Role

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.

Core Responsibilities

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.

Requirements And Skills

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.

Frequently Asked Questions

What types of data will I label in these robotics annotation jobs?

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.

Is this role fully remote for applicants in the Philippines?

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.

What skills are required for QA evaluation in robotics?

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.

How does this role impact AI and machine learning?

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.