Senior AI Automation Engineer, Data Annotation Services

What you'll do

• Develop and deploy automated labeling and captioning solutions for perception and Vision-Language-Action (VLA) datasets.
• Train, fine-tune, and evaluate AI models to support auto-labeling and annotation quality automation.
• Build data pipelines that move datasets through automated labeling, human review, and quality validation.
• Implement and extend platforms such as NVIDIA Cosmos Curator and Cosmos Reason for AI automation.
• Integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.
• Ensure reliability, scalability, and observability across all annotation automation services.
• Create the data foundation required to power autonomous machines and intelligent construction equipment.

What we're looking for

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field.
• Experience developing production-grade software using Python, modern engineering practices, and containerization platforms like Docker or Kubernetes.
• Experience designing and implementing distributed systems, APIs, and data processing pipelines.
• Experience training, fine-tuning, or deploying machine learning models.
• 2+ years of experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications.
• 1+ years of experience in data annotation and quality assurance for autonomous systems or computer vision projects.
• Experience using annotation tools like Labelbox or Supervisely and ML frameworks like PyTorch, TensorFlow, or ONNX.
• Experience with computer vision, robotics, autonomy, multimodal AI, or NVIDIA Cosmos platforms (preferred).