Lead AI Automation Engineer, Data Annotation Services
Core
Lead technical delivery for annotation automation solutions that generate training data for robotics, autonomy, and Vision-Language-Action (VLA) systems in heavy equipment environments.
Role type
Senior IC Lead AI Automation Engineer (Data Annotation Services)
Builds
Automated labeling, captioning, and quality assurance pipelines for perception and VLA datasets
Domain
Construction autonomy, physical AI, robotics, computer vision, multimodal AI
Deliverable
production ML models
Required skills
Technical leadership for scrum teams, Python software engineering, distributed systems design, ML model training/fine-tuning, sensor dataset management (camera/LiDAR), data annotation QA, annotation toolchains (Labelbox/Supervisely/RoboFlow), ML frameworks (PyTorch/TensorFlow/ONNX)
Preferred skills
Physical AI, multimodal AI, foundation model fine-tuning, NVIDIA Cosmos Curator/Reason, VLA workflows, cloud MLOps, human-in-the-loop workflows
Technologies
NVIDIA Cosmos Curator, Cosmos Reason, Labelbox, Supervisely, RoboFlow, PyTorch, TensorFlow, ONNX, Weights & Biases, MLflow
Responsibilities
Lead technical execution of annotation automation scrum team, design and deploy automated labeling/captioning solutions, train and evaluate AI models for auto-labeling, build data pipelines for dataset publication, implement and extend AI automation platforms, integrate data systems with external providers, drive operational excellence, mentor engineers
Seniority
Senior, hands-on IC with leadership
