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3D Annotation Jobs (NOW HIRING)

Software Research Engineer (ML)

Austin, TX · On-site

$203.20K/yr

... 3D annotation pipelines) • Background in AV, robotics, or large-scale ML dataset development • Experience with foundation models / VLMs • Workflow orchestration systems (Argo, Airflow, etc ...

Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines) * Background in AV, robotics, or large-scale ML dataset development * Experience with foundation models / VLMs * Workflow ...

Responsibilities : • 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc ...

Responsibilities : • 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc ...

Key Responsibilities * 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.

Key Responsibilities * 3D Perception Annotations: Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.

Experience with 2D/3D data analysis, including point cloud processing and image annotation. * Proficiency in Python and relevant libraries (e.g., OpenCV, PCL, NumPy). * Familiarity with 3D geometry ...

Software Research Engineer (ML)

Austin, TX · On-site

$203.20K/yr

Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines) * Background in AV, robotics, or large-scale ML dataset development * Experience with foundation models / VLMs * Workflow ...

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How much do 3d annotation jobs pay per hour?

As of May 30, 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 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 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.
More about 3D Annotation jobs
What cities are hiring for 3D Annotation jobs? Cities with the most 3D Annotation job openings:
What states have the most 3D Annotation jobs? States with the most job openings for 3D Annotation jobs include:
Infographic showing various 3D Annotation job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $33,254 per year, or $16 per hour.

Software Research Engineer (ML)

Avride

Austin, TX • On-site

$203.20K/yr

Full-time

Posted 20 days ago


Job description

Job Summary:
Avride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. They are seeking a Research Engineer to improve dataset quality for self-driving systems by designing algorithms and tools for auto-labeling and data monitoring.
Responsibilities:
• Design and implement algorithms that optimize annotation, including auto-labeling systems that reduce manual effort and increase throughput
• Build data-mining and active-learning pipelines to surface the highest-value samples for training
• Create dataset-quality monitoring systems identifying noise, redundancy, and low-value data
• Develop analytics platforms (databases, dashboards, reporting) to track dataset quality and coverage over time
• Collaborate with ML and Perception teams to integrate research results into production workflows
• Explore emerging approaches (vision-language models, weak supervision, uncertainty estimation) to expand dataset quality and automation
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science or related field
• Strong Python skills for algorithm development and prototyping
• Solid understanding of ML concepts (metrics, evaluation, dataset sampling, etc.)
• Experience with data processing and analysis at scale
• Ability to move between research prototyping and production engineering
• Strong analytical mindset and curiosity to dig deep into data quality problems
Preferred:
• Experience with auto-labeling, weak supervision, or human-in-the-loop ML
• Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines)
• Background in AV, robotics, or large-scale ML dataset development
• Experience with foundation models / VLMs
• Workflow orchestration systems (Argo, Airflow, etc.)
• Backend engineering experience (APIs, ORMs, databases)
• Experience building dashboards or analytics systems (Grafana, Superset, etc.)
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.