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3D Annotation Job Jobs (NOW HIRING)

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Key Skills & Requirements: - 1+ years of professional experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems. - Experience with 3D spatial data (LiDAR ...

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 ...

HDR

Civil 3D/BIM Design Lead - Water

Denver, CO · On-site

$81K - $111K/yr

... annotation, management of layers, and overall drawing presentation. * Creation of design drawings ... Advanced skillset of 3D Coordination tool * Competency of Microsoft Office products and ...

HDR

Civil 3D/BIM Design Lead - Water

Denver, CO · On-site

$81K - $111K/yr

... annotation, management of layers, and overall drawing presentation. * Creation of design drawings ... Advanced skillset of 3D Coordination tool * Competency of Microsoft Office products and ...

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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

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

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 ...

JVA Inc

Civil CAD Designer

Glenwood Springs, CO · On-site

$70K - $89K/yr

Responsible for utilizing Autodesk Civil 3D to develop thoughtful, creative, clear and concise ... Project setup, plan production and annotation using the most current CAD standards and best ...

FieldAI

Senior Data Operations Engineer

Boston, MA

$110K - $140K/yr

Data annotation for robotics or autonomous vehicles * QA for hardware and/or software * 3D scanning and 3D printing * Data collection and human subjects research (IRB/consent familiarity a plus) * AR ...

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3D Annotation Job information

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How much do 3d annotation job jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for 3d annotation job 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 thrive as a 3D Annotation Specialist, you need a keen eye for detail, spatial awareness, and basic computer skills, often supported by a background in computer graphics, engineering, or related fields. Familiarity with 3D annotation tools such as Labelbox, Supervisely, or CVAT, and experience with file formats like OBJ or PLY are typically required. Strong problem-solving abilities, patience, and effective communication skills help ensure accuracy and collaboration within annotation teams. These skills are crucial for producing high-quality labeled data, which directly impacts the effectiveness of AI and machine learning models relying on 3D spatial information.

What is a 3d annotation job?

3D annotation jobs involve labeling or tagging objects within three-dimensional data, such as point clouds, 3D models, or volumetric images. These annotations are crucial for training artificial intelligence and machine learning models, especially in fields like autonomous vehicles, robotics, and augmented reality. Workers typically use specialized software tools to mark objects, define boundaries, or classify items in 3D space. The accuracy and quality of 3D annotations directly impact the performance of AI systems that rely on this data.

What is the difference between 3D Annotation Job vs 3D Labeling Specialist?

Aspect3D Annotation Job3D Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with experience in annotation tools
Work EnvironmentRemote or office-based, using annotation softwareSimilar, often in tech or AI companies
Industry UsageAutonomous vehicles, robotics, AI trainingAutonomous vehicles, AI datasets, machine learning

Both roles involve working with 3D data to prepare datasets for AI models. The main difference lies in terminology; '3D Annotation Job' is a general description of the task, while '3D Labeling Specialist' often refers to a more specialized or professional role within the same field. Both require similar skills and are used interchangeably in many companies.

What are some common challenges faced in a 3d annotation role, and how can they be addressed?

One common challenge in a 3D annotation role is ensuring high accuracy and consistency when labeling complex objects or scenes, especially in dynamic environments like autonomous driving datasets. This requires a keen eye for detail and a solid understanding of the annotation tools and guidelines. Collaborating effectively with quality assurance teams and staying updated on the latest annotation standards can help address these challenges. Additionally, regular feedback sessions and ongoing training can improve both speed and precision over time.
More about 3D Annotation Job jobs
What job categories do people searching 3D Annotation Job jobs look for? The top searched job categories for 3D Annotation Job jobs are:
3D Annotation Job jobs near you
Infographic showing various 3D Annotation Job job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $33,254 per year, or $16 per hour.

Agentic Data Understanding

Bedrock Robotics

San Francisco, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Bedrock Robotics is a company focused on bringing advanced autonomy to the construction industry. They are seeking an Agentic Data Understanding Engineer to design and build AI-driven systems for high-quality data annotation, which is crucial for their autonomous construction robots. This role involves working at the intersection of applied machine learning, data infrastructure, and robotics to enhance the operational capabilities of their technology.
Responsibilities:
• Design and build a hybrid cascading auto-labeling pipeline that intelligently selects annotation techniques - onboard sensor-derived labels, specialized AI models, and VLMs with prompt/few-shot configs - based on quality, cost, and latency requirements.
• Develop and maintain annotation harnesses that automatically assess quality and cost against golden/validation sets to enable continuous hill-climbing on label quality.
• Productionize annotation workflows: backfilling historical data, triggering runs on new data programmatically, and tracking coverage across the fleet.
• Build and maintain the Annotation Orchestrator that executes annotation job sequences, tracks progress, and manages integrations with external vendors.
• 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 configuration library - the registry of available annotators - and ensure new annotator technologies are onboarded in a scalable, secure way.
• Build agentic annotation workflows that can reason about annotation quality gaps, self-diagnose failures, trigger human-in-the-loop review when confidence is low, and iterate toward coverage goals autonomously.
• Develop tooling for annotation versioning and downstream propagation so that spec updates automatically trigger re-annotation of affected data.
• Partner with the Data Infrastructure team to store annotations in queryable, version-controlled databases that support cross-domain semantic search and exploration.
• Define and instrument the north star metrics for annotation quality and cost.
• Build reporting and dashboards to surface quality/cost trends across annotation workflows and inform decisions on when to invest in better auto-labeling vs. human annotation.
• Identify and evaluate new annotation technologies.
Qualifications:
Required:
• 8+ years of experience in ML engineering, data engineering, or applied AI — with meaningful time spent building production annotation or labeling systems.
• Strong experimentation coding skills (eg Python); experience building complex pipelines that include various ML model inference at scale.
• Hands-on experience with one or more annotation modalities: 2D bounding boxes, 3D cuboids, semantic segmentation, event/context labels.
• Clear thinking about quality/cost tradeoffs in data pipelines; comfort defining and instrumenting metrics.
• Ability to work cross-functionally with autonomy engineers, product managers, and human labeling teams.
Preferred:
• Hands on model fine tuning experience.
• Experience building agentic or LLM-orchestrated pipelines (e.g., using VLMs for zero-shot or few-shot annotation).
• Familiarity with robotics data formats and sensor modalities (LiDAR, cameras, IMU).
• Experience with annotation platforms.
• Background in robotics, autonomous vehicles, or construction technology.
• Experience designing ontologies or taxonomies for structured data labeling.
Company:
Bedrock Robotics enables the construction sector to grow at the rate that modern civilization requires. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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