AI Automation Engineer, Data Annotation Services
Core
Build automated annotation and captioning solutions to create training data for robotics, autonomy, and Vision-Language-Action (VLA) systems for heavy equipment.
Role type
Senior IC AI Automation Engineer (Data Annotation Services)
Builds
Automated labeling and captioning pipelines for perception and VLA datasets
Domain
Construction autonomy, physical AI, computer vision, robotics
Deliverable
production ML models
Required skills
Python, distributed systems, APIs, data processing pipelines, machine learning model training/fine-tuning, sensor dataset management (camera/LiDAR), data annotation guidelines, annotation tools (Labelbox/Supervisely/RoboFlow), ML frameworks (PyTorch/TensorFlow/ONNX)
Preferred skills
Computer vision, robotics, autonomy, Physical AI, multimodal AI, foundation model training, NVIDIA Cosmos Curator/Reason, VLA workflows, cloud platforms, MLOps, human-in-the-loop workflows
Technologies
NVIDIA Cosmos Curator, Cosmos Reason, Labelbox, Supervisely, RoboFlow, PyTorch, TensorFlow, ONNX, Weights & Biases, MLflow, Docker, Kubernetes
Responsibilities
Develop and deploy automated labeling and captioning solutions; Train, fine-tune, and evaluate AI models for auto-labeling; Build data pipelines for automated labeling and quality validation; Implement and extend AI automation platforms; Integrate data systems with external annotation providers; Ensure reliability and scalability of annotation services
Seniority
Senior, hands-on IC
