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Caterpillar

Makes heavy machinery, engines and gas turbines

Lead AI Automation Engineer - Data Annotation Services

Computer VisionConfirmed live in the last 24 hours
Full-timeIrving, TX, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field is required.
  • Experience leading technical delivery for software or AI engineering teams is required.
  • Experience developing production-grade software solutions using Python and modern software engineering practices is required.
  • Experience designing and implementing distributed systems, application programming interfaces, and data processing pipelines is required.
  • Experience training, fine-tuning, or deploying machine learning models is required.
  • At least 3 years of experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications, including data collection pipeline design and ground truth generation, is required.
  • At least 3 years of experience in data annotation and quality assurance for autonomous systems or computer vision projects is required, including defining annotation guidelines, identifying labeling defects, and improving dataset accuracy.
  • Experience using annotation and dataset management tools such as Labelbox, Supervisely, RoboFlow, or similar toolchains is required.
  • Experience using machine learning frameworks and training tools such as PyTorch, TensorFlow, ONNX, Weights & Biases, MLflow, or similar frameworks is required.

Responsibilities

  • Lead the technical execution of a scrum team focused on annotation automation and AI-driven data production.
  • Design, develop, and deploy automated labeling and captioning solutions for perception and Vision-Language-Action datasets.
  • Train, fine-tune, and evaluate AI models for auto-labeling, auto-captioning, and annotation quality automation.
  • Build data pipelines and workflows that move datasets through automated labeling, human review, quality validation, and dataset publication.
  • Implement and extend platforms such as NVIDIA Cosmos Curator, Cosmos Reason, and other AI automation technologies.
  • Develop solutions that integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.
  • Drive reliability, scalability, observability, and operational excellence across annotation automation services.
  • Mentor engineers and provide day-to-day technical leadership for the team.

Desired Qualifications

  • Experience with computer vision, robotics, autonomy, Physical AI, or multimodal AI systems.
  • Experience with AI-assisted annotation, auto-labeling, or machine learning data pipelines.
  • Experience training or fine-tuning foundation models, vision models, or multimodal models.
  • Experience with NVIDIA Cosmos Curator, Cosmos Reason, or similar AI automation platforms.
  • Experience with Vision-Language-Action datasets and workflows.
  • Experience with sensor data such as cameras, LiDAR, radar, or autonomous machine datasets.
  • Experience with cloud platforms, MLOps, and machine learning deployment pipelines.
  • Experience building human-in-the-loop AI workflows and quality automation systems.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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