... annotation guidelines to complex, real-world scenarios -- including frequent edge cases. Key ... Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles ...
Quick apply
... annotation guidelines to complex, real-world scenarios -- including frequent edge cases. Key ... Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles ...
... annotation guidelines to complex, real-world scenarios including frequent edge cases. Key ... Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles ...
Quick apply
... annotation guidelines to complex, real-world scenarios including frequent edge cases. Key ... Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles ...
... annotation guidelines to complex, real-world scenarios -- including frequent edge cases. Key ... Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles ...
Quick apply
... annotation guidelines to complex, real-world scenarios -- including frequent edge cases. Key ... Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles ...
Utilize Civil 3D program to perform accurate drafting and annotation of construction drawings and exhibits * Complete redline mark-up modifications of existing construction drawings as directed by ...
Utilize Civil 3D program to perform accurate drafting and annotation of construction drawings and exhibits * Complete redline mark-up modifications of existing construction drawings as directed by ...
Utilize Civil 3D program to perform accurate drafting and annotation of construction drawings and exhibits * Complete redline mark-up modifications of existing construction drawings as directed by ...
Utilize Civil 3D program to perform accurate drafting and annotation of construction drawings and exhibits * Complete redline mark-up modifications of existing construction drawings as directed by ...
Utilize Civil 3D program to perform accurate drafting and annotation of construction drawings and exhibits * Complete redline mark-up modifications of existing construction drawings as directed by ...
Utilize Civil 3D program to perform accurate drafting and annotation of construction drawings and exhibits * Complete redline mark-up modifications of existing construction drawings as directed by ...
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$25 - $40/hr
Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...
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Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...
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Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...
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Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...
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Deep knowledge of AutoCAD 2D drafting, 3D modeling, dimensioning, layers, blocks, hatching, plotting, annotation, and file management. Ability to explain coordinate systems, object properties ...
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 Arizona? For 3D Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching 3D Annotation jobs in Arizona look for? The top searched job categories for 3D Annotation jobs in Arizona are:
What cities in Arizona are hiring for 3D Annotation jobs? Cities in Arizona with the most 3D Annotation job openings:
$25/hr
Full-time
Posted 29 days ago
Job description
Location: Remote Employment Type: Full-Time | 40 hours/week Compensation: $25/hour
About the Role:
We are looking for a detail-oriented and technically capable Vision-Language-Action (VLA) Annotator to join our data operations team in Phoenix, Arizona. In this role, you will be responsible for reviewing, labeling, and quality-checking multimodal datasets used to train and evaluate autonomous driving and robotics models. Your work directly impacts the safety and performance of AI systems operating in the real world.
This is a full-time, 40-hour-per-week position requiring sustained focus, sound judgment, and the ability to apply structured annotation guidelines to complex, real-world scenarios — including frequent edge cases.
Key Responsibilities:Â
- Review and annotate video footage, sensor telemetry, and camera feeds from autonomous vehicle test drives and robotics platforms.
- Assess vehicle and robotic behavior in 3D space using 2D camera inputs, including approach angles, following distances, trail alignment, and controlled stop quality.
- Use time-series telemetry data — including speed, throttle, steering, and braking charts — to make precise trim and segmentation decisions on data clips.
- Apply annotation guidelines consistently while exercising independent judgment on ambiguous or edge-case scenarios.
- Identify and flag unsafe, incomplete, or anomalous driving behaviors (e.g., rolling stops, improper following distance, out-of-distribution maneuvers).
- Maintain high throughput and accuracy standards; participate in regular quality audits and calibration sessions.
- Work within annotation platforms (e.g., Encord, CVAT, Label Studio, or similar) to complete labeling tasks efficiently.
- Document and communicate recurring issues or ambiguities in the data to improve pipeline quality.
Preferred Qualifications:
- Education: Bachelor's degree with a STEM background preferred (Engineering, Computer Science, Physics, Mathematics, GIS, or related field).
- Spatial & Mechanical Reasoning: Demonstrated ability to interpret vehicle or robotic behavior in 3D space from 2D camera feeds. Backgrounds in robotics, automotive engineering, mechanical engineering, GIS, or simulation are strong indicators.
- Time-Series Data Literacy: Experience reading and interpreting sensor data, telemetry charts, lab instrumentation output, or signal processing data. Comfort with chart-heavy analytical workflows is essential for making precise trim decisions.
- Driving Familiarity: Regular driving experience, ideally in varied or off-road conditions. Must be able to distinguish safe from unsafe driving behavior, recognize complete vs. rolling stops, and assess reasonable following distances.
- Detail Orientation with Tolerance for Ambiguity: Ability to follow precise, rule-based guidelines while also applying sound judgment on frequent edge cases. Prior experience in QA, data annotation, or lab/research settings is a strong signal.
- Video Review Endurance: Comfort with sustained video review tasks. Prior experience in video editing, surveillance monitoring, sports performance analysis, or media production is a plus.
Nice-To-Haves:Â
- Prior annotation or data labeling experience, especially in autonomy or robotics datasets.
- Familiarity with geospatial tools, map interfaces, or GIS platforms.
- Hands-on experience with Encord, Label Studio, CVAT, Scale AI, or comparable labeling platforms.
- Background in autonomous vehicles, ADAS systems, or driver safety analysis.