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AI Automation Engineer, Data Annotation Services

Pay
$97,530–158,480/yearAnnual period assumed — pay source
Summary Pay Range: $97,530.00 - $158,480.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Sponsors visas
Employer’s visa record
509 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. US Citizenship and Immigration Services.

What you’ll work on

Full posting
  • Develop and deploy automated labeling and captioning solutions for perception and VLA datasets

  • Train, fine-tune, and evaluate models for auto-labeling and annotation quality automation

  • Build pipelines moving datasets through labeling, human review, validation and publication

  • Implement and extend NVIDIA Cosmos Curator, Cosmos Reason and similar AI automation platforms

  • Integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows

From the employer’s posting
Develop and deploy automated labeling and captioning solutions for perception and VLA datasets.
Train, fine-tune, and evaluate AI models to support 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 emerging AI automation technologies.
Develop solutions that integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field.
  • Experience developing production-grade software solutions using Python, modern software engineering practices and containerization platforms (e.g.
  • Experience designing and implementing distributed systems, APIs, and data processing pipelines.
  • Experience training, fine-tuning, or deploying machine learning models.
  • Experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications, including data collection pipeline design and ground truth generation.
  • Experience in data annotation and quality assurance for autonomous systems or computer vision projects, with demonstrated ability to define annotation guidelines, identify labeling defects, and drive measurable improvements in dataset accuracy.

Preferred experience

  • 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.
Qualification wording
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field.
Experience developing production-grade software solutions using Python, modern software engineering practices and containerization platforms (e.g. Docker, Kubernetes)
Experience designing and implementing distributed systems, APIs, and data processing pipelines.
Experience training, fine-tuning, or deploying machine learning models.
Experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications, including data collection pipeline design and ground truth generation.
Experience in data annotation and quality assurance for autonomous systems or computer vision projects, with demonstrated ability to define annotation guidelines, identify labeling defects, and drive measurable improvements in dataset accuracy.
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.

Benefits in the posting

Full benefits wording
  • Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Health Lifestyle Programs*
  • Voluntary Benefits and Employee Discounts*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement
  • Relocation is available for this position.
  • Visa sponsorship is available for eligible applicants.
  • Posting Dates:

From the employer’s posting.

Apply at Caterpillar

Posting record

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Status in our records
Live
First seen by us
Sep 18, 202656 days ago
Recorded sightings
93
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 56

Similar jobs usually come down between day 4 and day 77.

Well past Caterpillar’s usual: its jobs come down by about day 12.

From 51 similar postings that came down, and 219 of Caterpillar’s. Coming down is not always a hire.

Caterpillar is hiring

35 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • Docker
  • Kubernetes
  • MLflow
  • PyTorch
  • TensorFlow
Where the posting names them
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field. - Experience developing production-grade software solutions using Python, modern software engineering practices and containerization platforms (e.g. Docker, Kubernetes) - Experience designing and implementing distributed systems, APIs, and data processing pipelines.
- Experience using annotation and dataset management tools such as Labelbox, Supervisely, RoboFlow or similar toolchains. - Experience using machine learning frameworks and training tools such as PyTorch, TensorFlow, ONNX, Weights & Biases, MLflow or similar frameworks. Preferred Qualifications

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About Caterpillar

People
About 118,000 in 2025, up 5% from the year before.Annual report (SEC Form 10-K)
Company
Listed as CAT.
H-1B visas
63 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Help Build the Future of Caterpillar –

At Caterpillar, technology always has a purpose, which is to solve our customers’ toughest challenges. Through Cat Technology, we are solving problems by building the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale.

You’ll build and deploy against one of the most unique data foundations—over 1.6 million connected assets generating real-world data daily.  These data and platform capabilities are enabling the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

Be Part of What’s Next in Autonomous Construction Sites

Construction autonomy is one of the most complex challenges in applied AI, and at Caterpillar, advancements in physical AI, simulation, sensing, and edge computing are turning things that once felt impossible—intelligent machines operating in dynamic jobsites—into reality.

Our connected ecosystem brings together massive volumes of high-quality data to create a foundation where engineers like you can build and deploy against.

If this work motivates you, we invite you to join our team. In these roles, you’ll work at the intersection of the physical and digital worlds. You’ll help design and deliver intelligent systems that enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.

Apply today to build the new era of construction autonomy at Caterpillar. 

We are seeking an AI Automation Engineer to develop annotation automation solutions used to create training data for robotics, autonomy, computer vision, and Vision-Language-Action (VLA) systems with a scrum team.

This role combines software engineering, machine learning, and data engineering to build automated annotation and captioning capabilities for real-world heavy equipment and construction environments. You will help deploy and extend technologies such as NVIDIA Cosmos Curator and Cosmos Reason while also developing Caterpillar-specific AI models that enable automated labeling, automated captioning, and AI-driven quality assurance.

This is a hands-on technical role focused on turning complex AI and data challenges into scalable production solutions.

What You'll Do

  • Develop and deploy automated labeling and captioning solutions for perception and VLA datasets.

  • Train, fine-tune, and evaluate AI models to support 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 emerging AI automation technologies.

  • Develop solutions that integrate Caterpillar data systems with external annotation providers and human-in-the-loop workflows.

  • Ensure reliability, scalability, observability, and operational excellence across annotation automation services.

What Makes This Role Unique

Most AI automation solutions are not trained to understand heavy equipment, jobsites, sensor data, or machine operations.

In this role, you'll help develop the AI capabilities needed to label and describe Caterpillar-specific data at scale. You'll work on challenges involving computer vision, multimodal AI, robotics, autonomy, and Vision-Language-Action systems while helping create the data foundation that powers the future of intelligent machines.

Basic Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Robotics, or a related field.

  • Experience developing production-grade software solutions using Python, modern software engineering practices and containerization platforms (e.g. Docker, Kubernetes)

  • Experience designing and implementing distributed systems, APIs, and data processing pipelines.

  • Experience training, fine-tuning, or deploying machine learning models.

  • Strong problem-solving skills and ability to work across multiple technical disciplines.

  • Experience generating and managing camera and LiDAR sensor datasets for perception or machine learning applications, including data collection pipeline design and ground truth generation.

  • Experience in data annotation and quality assurance for autonomous systems or computer vision projects, with demonstrated ability to define annotation guidelines, identify labeling defects, and drive measurable improvements in dataset accuracy.

  • Experience using annotation and dataset management tools such as Labelbox, Supervisely, RoboFlow or similar toolchains.

  • Experience using machine learning frameworks and training tools such as PyTorch, TensorFlow, ONNX, Weights & Biases, MLflow or similar frameworks.

Preferred 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 (VLA) 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.

Additional Details:

  • This position requires the candidate to work full-time at the Irving, TX office (Dallas)

  • Domestic relocation assistance is available for this position.

  • Visa sponsorship is available with this position.

Why Caterpillar

You'll work on some of the most challenging applications of AI in the physical world, helping build systems that transform vast amounts of machine and sensor data into the intelligence that powers autonomous and AI-enabled equipment. If you're excited about applying AI to real-world machines operating in complex environments, we'd like to hear from you.

 

 

Summary Pay Range:

$97,530.00 - $158,480.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. 

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

  • Medical, dental, and vision benefits*

  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*

  • 401(k) savings plans*

  • Health Savings Account (HSA)*

  • Flexible Spending Accounts (FSAs)*

  • Health Lifestyle Programs*

  • Employee Assistance Program*

  • Voluntary Benefits and Employee Discounts*

  • Career Development*

  • Incentive bonus*

  • Disability benefits

  • Life Insurance

  • Parental leave

  • Adoption benefits

  • Tuition Reimbursement

       

* These benefits also apply to part-time employees

 

 

This position requires working onsite five days a week.

 

 

Relocation is available for this position.

 

 

Visa sponsorship is available for eligible applicants.

 

 

Posting Dates:

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities.  Qualified applicants of any age are encouraged to apply.

Not ready to apply? Join our Talent Community.

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Pay
Summary Pay Range: $97,530.00 - $158,480.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Location & working pattern

Irving, Texas

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Domestic relocation assistance is available for this position. - Visa sponsorship is available with this position. Why Caterpillar
More source context
Relocation is available for this position. Visa sponsorship is available for eligible applicants. Posting Dates:

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