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3D Annotation Jobs in California (NOW HIRING)

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable ... Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like ...

... 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration. • ...

... 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration. • ...

Company Description Civil Maps, provider of 3D mapping technology for fully autonomous vehicles ... annotation in current use. As a result, the company can quickly generate and maintain maps that ...

... annotation. • Own the end-to-end product life cycle from initial ideation to deployment. • ... 3D Vision, VIO / SLAM, Vision-Language Model (VLM), Diffusion Models. • Proficiency with ...

Showing results 41-60

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 cities in California are hiring for 3D Annotation jobs?

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

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 Software Engineer, Data & Eval Platform

Dyna Robotics

Redwood City, CA • On-site

$150K - $197K/yr

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Dyna Robotics is a company focused on AI-driven robotics, developing general-purpose robots powered by advanced AI models. The Senior Software Engineer for the Data & Eval Platform will design and build systems that enhance the performance of robotic intelligence through data visualization, automation, and scalable ML pipelines.
Responsibilities:
• Architect the engines and interfaces that unify raw robot logs, video, and 3D sensor data.
• Enable seamless 'human-in-the-loop' workflows, from episode annotation to analyzing manual interventions.
• Design and implement algorithms to extract structured signals (trajectories, events, 3D poses) from raw captures.
• Build high-performance tools to compare model-driven motion against human-captured data, helping the team quantify model progress across diverse tasks.
• Build and operate distributed data pipelines (using Python, GCP/AWS, and Kubernetes) for the ingestion, transformation, and validation of terabytes of multimodal data.
• Develop visualization tools that make complex model behaviors and sensor data easy to interpret, reducing the time from 'data collected' to 'model trained.'
• Collaborate across ML, Robotics, and Product teams.
Qualifications:
Required:
• 5+ years of professional software experience, ideally with a focus on data-intensive or 'human-in-the-loop' platforms.
• Proficiency in Python (NumPy, Pandas) and a solid understanding of modern backend architectures.
• Strong skills in algorithms and geometric calculations (e.g., coordinate transformations, 3D spatial reasoning).
• Hands-on experience with relational and NoSQL databases (PostgreSQL, Redis) and cloud-native infrastructure (GCP/AWS).
• The ability to debug real-world data issues - from sensor drift to pipeline bottlenecks - independently.
Preferred:
• Experience with React/TypeScript for building internal observability tools.
• Experience with multimodal data (video, LiDAR, time-series) in robotics or autonomous systems.
• Familiarity with Airflow, Kubeflow, or similar distributed batch processing systems.
• Experience with experiment tracking frameworks like Weights & Biases or MLFlow.
• Experience as an early hire in a fast-paced startup environment.
Company:
Dyna Robotics develops advanced robotic manipulation models to automate repetitive and stationary tasks. Founded in 2024, the company is headquartered in Redwood City, USA, with a team of 11-50 employees. The company is currently Early Stage.