Remote Robotics Data Annotation Specialist

Remote robotics annotation specialists apply computer vision annotation and LiDAR semantic segmentation to autonomous systems across Canada. This full-time work supports AI/ML training pipelines.

At Rex.zone, the specialist supports training data quality for autonomous robotics. The mid-senior engineering work includes 3D bounding boxes, RLHF evaluation, and large language model evaluation. Responsibilities connect annotation accuracy with model performance improvement across diverse datasets.

Key Responsibilities:

• Execute computer vision annotation for autonomous robotics datasets
• Create 3D bounding boxes supporting spatial awareness
• Perform LiDAR semantic segmentation and named entity recognition
• Evaluate AI-generated outputs using RLHF methods
• Apply content safety labeling and annotation guidelines

Requirements:

• Strong background in computer vision annotation
• Experience with large language model evaluation
• Proven record of model performance improvement
• Familiarity with AI/ML training pipelines and QA frameworks
• Remote collaboration tools experience

Apply robotics annotation expertise, LiDAR labeling, and RLHF evaluation to improve autonomous AI model performance at Rex.zone.