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:

- Solid 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.

📌 Remote Robotics Data Annotation Specialist (Montreal)
🏢 RemoExperts
📍 Montreal