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3D Annotation Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

Work closely with the labeling and data operations teams to define robust data annotation ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Work closely with the labeling and data operations teams to define robust data annotation ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

Work closely with the labeling and data operations teams to define robust data annotation ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

Field AI

3D Machine Learning Engineer

Irvine, CA

Work closely with the labeling and data operations teams to define robust data annotation ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

Bedrock Robotics

Agentic Data Understanding

San Francisco, CA · On-site

$134K - $162K/yr

Implement scheduling and prioritization logic for annotation jobs across multiple parallel workflows and data modalities (2D boxes, 3D cuboids, events, metrics, embeddings). * Own the annotation job ...

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Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo). * Experience with data annotation tools, dataset management, and augmentation techniques. * Familiarity ...

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How much do 3d annotation jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for 3d annotation in the United States is $15.99, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What are 3D annotations?

3D annotation is the process used in 3D modeling and computer vision jobs to label objects, surfaces, or features within three-dimensional data. It involves adding metadata or tags to 3D models or point clouds to enable machine learning algorithms to recognize and interpret spatial information accurately. Skills in 3D software, understanding of spatial relationships, and attention to detail are important for this role.

What is 3D annotation?

3D annotation is the process of labeling or tagging objects, features, or areas within three-dimensional data, such as point clouds, meshes, or 3D images. It is commonly used in fields like autonomous driving, robotics, and augmented reality to help machine learning models understand and interpret 3D environments. Annotators may identify and classify objects, draw bounding boxes, or segment specific regions within the 3D space. This data is crucial for training and validating AI systems to recognize and interact with real-world objects accurately.

What qualifications do I need for data annotation?

For a 3D annotation role, candidates typically need basic computer skills, attention to detail, and familiarity with annotation tools or software. Some positions may require a high school diploma or equivalent, and knowledge of 3D modeling or related fields can be advantageous. Strong communication skills and the ability to work independently are also beneficial.

What are the key skills and qualifications needed to thrive as a 3D Annotation Specialist, and why are they important?

To excel as a 3D Annotation Specialist, you need attention to detail, spatial awareness, and basic knowledge of 3D modeling or computer vision, often supported by a background in computer science or related fields. Familiarity with 3D annotation tools like Supervisely, CVAT, or Labelbox, and experience with relevant file formats and data management systems, are typically required. Strong problem-solving skills, patience, and effective communication help individuals stand out in this meticulous, collaborative role. These skills ensure accurate data labeling, which is crucial for the development and training of reliable AI and machine learning models.

What 3D job pays the most?

In 3D-related roles, senior positions such as 3D Art Directors, Lead 3D Modelers, or 3D Technical Directors tend to have the highest salaries, often exceeding $100,000 annually. These roles typically require extensive experience, advanced skills in software like Maya or Blender, and strong project management abilities.

What is the hourly rate for data labeling?

For 3D annotation roles, the hourly rate typically ranges from $10 to $30, depending on experience, complexity of the data, and the platform or employer. Rates may vary based on geographic location and required skill level, with some positions paying higher for specialized tools or certifications.

What are the typical challenges faced when working in 3D annotation roles, and how can they be addressed?

Professionals in 3D annotation often encounter challenges such as maintaining accuracy while labeling complex objects from multiple angles and ensuring consistency across large datasets. The work can be repetitive, requiring strong attention to detail and patience to avoid errors that may impact downstream machine learning models. Collaboration with data scientists, software engineers, and QA teams is essential to clarify guidelines and resolve ambiguities. Adopting efficient annotation tools and proactive communication within the team can help overcome these challenges and improve workflow efficiency.
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3D Annotation jobs near you
Infographic showing various 3D Annotation job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $33,254 per year, or $16 per hour.

3D Machine Learning Engineer

FieldAI

Irvine, CA • On-site

Full-time

Posted 27 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You’ll Do
  • Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
  • Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
  • Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
  • Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
  • Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.
What You Have
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field.
  • 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
  • Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
  • Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
  • Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
  • Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
  • Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
  • Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.
The Extras That Set You Apart
  • Experience working with BIM data, digital twins, or construction-related sensor data.
  • Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
  • Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
  • Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
  • Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
  • Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
  • Experience building custom modules for SparseConvNet or 3D transformers.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.