AI Automation Engineer, Data Annotation Services
Caterpillar
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 52% of similar roles. Most pay $143,000–$219,275 — the shaded band above. At the midpoint, this role pays about $169k versus about $181k for comparable roles.
Based on 240 similar postings.
Employer
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has 30 open roles on FindRole.
Listed pay typically runs $147,760–$190,176 across 29 roles with salary data.
Most-posted roles
At a glance
Lead AI Automation Engineer, Data Annotation Services provides technical leadership for a scrum team focused on developing annotation automation solutions for robotics, autonomy, computer vision, and Vision-Language-Action systems. The role involves designing and deploying automated labeling and captioning capabilities for heavy equipment and construction environments while building data pipelines that integrate machine learning models with human-in-the-loop workflows. Key responsibilities include training and fine-tuning AI models, ensuring quality assurance, and implementing technologies like NVIDIA Cosmos Curator and Cosmos Reason. Candidates will utilize Python, PyTorch, TensorFlow, ONNX, and tools such as Labelbox or Supervisely to manage camera and LiDAR sensor datasets. The work addresses the complex challenge of construction autonomy by creating a data foundation for machines to perceive environments and make informed decisions in dynamic jobsites using multimodal AI and physical systems.
Skills
What you'll do
What we're looking for
More like this
Caterpillar
Caterpillar
Proofpoint
CoStar Group
eBay
Bristol Myers Squibb