Computer vision annotation specialists improve autonomous robotics datasets through 3D bounding boxes and strict guideline compliance. This remote Canada role supports real-world AI/ML workflows.
Rex.zone seeks a mid-senior specialist for complex data labeling and quality initiatives. The work emphasizes computer vision annotation, spatial awareness, and model performance improvement. You will also contribute to robotic NLP interfaces, QA evaluation, and large language model evaluation.
Key Responsibilities: Lead training data quality initiatives for autonomous robotics
Complete complex computer vision annotation tasks
Build 3D bounding boxes for spatial awareness
Evaluate prompts and AI-generated robotic outputs
Maintain data integrity with annotation vendors and AI labs
Requirements: Background in computer vision annotation and data labeling
Experience evaluating large language models
Prompt evaluation experience for robotic NLP interfaces
Knowledge of QA evaluation frameworks
Familiarity with remote collaboration tools
Bring exact computer vision annotation and evaluation expertise to Rex.zone’s remote robotics training data initiatives.