ZipRecruiter

Log In

1

3D Annotation Jobs in California (NOW HIRING)

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$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 ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Preferred : • Experience with multimodal datasets (text, image, video, audio, or 3D). • Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning. • ...

Triwill Group

Staff Data Scientist

San Francisco, CA · On-site

$220 - $280/hr

... color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on ... Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ...

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

... color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on ... Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ...

previous pagenext page

Showing results 21-40

All Jobs3D Annotation Jobs3D Annotation Jobs in California

3D Annotation information

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 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 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.

What are popular job titles related to 3D Annotation jobs in California?

For 3D Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching 3D Annotation jobs in California look for?

The top searched job categories for 3D Annotation jobs in California are:

What cities in California are hiring for 3D Annotation jobs?

Cities in California with the most 3D Annotation job openings:

3D Annotation jobs near you
Infographic showing various 3D Annotation job openings in California as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Senior Manager, Product - Perception Data

Nvidia Corporation

Santa Clara, CA • On-site

$148K - $196K/yr

Full-time

Posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is developing AI and Accelerated Computing solutions for the Automotive industry. We are looking for a Senior Manager of Product to join our data team and lead a product group. Your core mission is to deeply understand what perception models need to improve - and translate that understanding into high-quality, high-value data annotation strategies that directly drive model performance gains.
This role sits at the intersection of perception research, data engineering, and labeling operations. You will work closely with perception scientists to identify model performance gaps, define annotation requirements, own the data roadmap, and drive end-to-end delivery across labeling vendors and internal teams. The best candidate combines strong product instincts with genuine technical depth in ML data pipelines and perception tasks.
What You'll Be Doing:
  • Develop a deep understanding of how training data impacts perception model performance across tasks including 3D object detection, lane/road structure recognition, traffic sign and traffic light detection, and semantic segmentation.
  • Partner with perception researchers and engineers to translate model capability gaps into concrete data requirements.
  • Own annotation ontology design: define labeling taxonomies, attribute schemas, edge case handling rules, and inter-annotator consistency standards for perception network tasks such as 3D bounding boxes, lane elements, traffic sign/light classification and association.
  • Anticipate how changes in data density, ROI size, and label complexity affect labeling throughput and delivery capacity; provide data-backed forecasts to stakeholders.
  • Collaborate with global engineering and labeling teams to ensure data quality and explore how DNN/LLM/VLM improves the performance of data labeling.

What We Need to See:
  • BS degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
  • 8+ years of product management experience, with at least 2+ years in a role directly involving ML/AI model development, data pipelines, or training data strategy.
  • Genuine understanding of perception model fundamentals.
  • Strong cross-functional communication skills.
  • 3+ years of experience leading or mentoring a team of product managers, tech leads, or equivalent.

Ways to Stand Out from the Crowd:
  • Fluent in Mandarin Chinese a strong plus (team operates across US and China time zones).
  • Direct experience in autonomous driving, robotics, or ADAS product development
  • Familiarity with 3D reconstruction, SLAM, NeRF, LiDAR point cloud annotation, and multi-sensor fusion.
  • Exposure to model-in-the-loop, human-in-the-loop, auto labeling, or VLM labeling.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're passionate about AI, data, defining what the model can and cannot learn, and enabling world-class AI models with high-quality data, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply