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3D Environment Modeling Jobs in Texas (NOW HIRING)

... 2D and 3D environments. - Track heavy equipment trajectories, movement, articulation, and ... Model chains of causation by annotating triggers and causal relationships in operational ...

AR/VR Interaction Designer

Austin, TX ยท On-site

$132K - $181K/yr

Create spatial layouts that organize 3D environments logically and support task completion-without needing to build complex models from scratch. * Define interaction patterns (gaze, gesture ...

AR/VR Interaction Designer

Austin, TX ยท On-site +1

$132K - $181K/yr

Create spatial layouts that organize 3D environments logically and support task completion-without needing to build complex models from scratch. * Define interaction patterns (gaze, gesture ...

Showing results 41-60

3D Environment Modeling information

See Texas salary details

$36.8K

$73.1K

$116K

How much do 3d environment modeling jobs pay per year?

As of Aug 13, 2026, the average yearly pay for 3d environment modeling in Texas is $73,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $91,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in 3d environment modeling?

To succeed in 3D Environment Modeling, proficiency in 3D modeling concepts, strong artistic fundamentals, and a relevant degree in art, design, or a related field are essential. Expertise with industry-standard software such as Autodesk Maya, Blender, 3ds Max, and experience using game engines like Unreal Engine or Unity is highly valued, along with any portfolio or certification evidence. Creativity, problem-solving, teamwork, and strong attention to detail help set candidates apart in this visually demanding field. These skills are critical to creating immersive, visually consistent environments that meet both artistic and technical requirements for games, film, or virtual production pipelines.

What is 3d environment modeling?

A 3D Environment Modeling job involves creating digital environments for video games, films, simulations, and other media. Artists in this role design and build landscapes, structures, and objects that form the world of a project, ensuring they are visually appealing and optimized for performance. They use software like Blender, Maya, or 3ds Max and often collaborate with concept artists, level designers, and texture artists. Strong knowledge of modeling techniques, texturing, lighting, and rendering is essential.

What are the typical daily responsibilities for someone working in 3d environment modeling?

A 3D Environment Modeler typically spends their day creating models of landscapes, buildings, props, and other environmental elements for visual media such as games or film. Their work involves interpreting concept art, collaborating closely with art directors, level designers, and technical artists, and ensuring assets meet technical and aesthetic standards. Modelers often adjust their designs based on feedback from team members, optimize their models for performance, and integrate their work into game engines or production pipelines. Daily tasks can also include UV mapping, texturing, and occasional troubleshooting to address technical constraints. This role requires a balance of creative vision, technical precision, and open communication within a collaborative team setting.

What are the most commonly searched types of 3D Environment Modeling jobs in Texas?

The most popular types of 3D Environment Modeling jobs in Texas are:

What are popular job titles related to 3D Environment Modeling jobs in Texas?

For 3D Environment Modeling jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for 3D Environment Modeling jobs?

Cities in Texas with the most 3D Environment Modeling job openings:

Infographic showing various 3D Environment Modeling job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $73,109 per year, or $35.1 per hour.

Data Annotator

Expert Technology Services

Irving, TX โ€ข On-site

Contractor

Posted 7 days ago


Job description

Job Summary (List Format): Data Annotator & QA Reviewer – Autonomy & Robotics (Mining)
Key Responsibilities:
- Execute manual data annotation and QA review for perception (video, images, 3D sensor data) and Vision-Language-Action (VLA) tasks.
- Label 2D and 3D spatial data, including video, images, LiDAR, radar, and machine sensor information.
- Annotate mining site entities (e.g., roads, rock piles, vehicles, personnel, equipment) in both 2D and 3D environments.
- Track heavy equipment trajectories, movement, articulation, and orientations using multi-sensor data.
- Fuse and align data from various sensors (visual, GPS, IMU, CAN bus, etc.) for temporal and spatial accuracy.
- Decompose mining operations into granular actions and label tasks, operator/machine intent, and action sequences.
- Model chains of causation by annotating triggers and causal relationships in operational environments.
- Tag and verify expected vs. actual outcomes for mining activities (e.g., load success, slippage, hazard avoidance).
- Conduct rigorous QA audits on annotated data, ensuring high accuracy across challenging mining scenarios (e.g., dust, low visibility, night, underground).
- Audit temporal consistency and semantic correctness in labeled mining datasets.
- Provide structured feedback to annotation teams, update labeling guidelines as new edge cases arise.
Required Skills & Qualifications:
- 1+ year experience in data annotation, labeling, or QA for computer vision, robotics, or autonomous systems.
- Experience working with 3D spatial data (LiDAR, point clouds, depth maps, multi-camera feeds).
- Familiarity with labeling platforms (CVAT, Labelbox, Scale AI, Supervisely, V7, Encord, etc.).
- Ability to break down and annotate complex heavy machinery interactions into structured flows (task → action → intent → causation → outcome).
- Strong 3D spatial visualization skills and attention to detail.
- Domain literacy in mining operations, equipment, and safety terminology.
- Technical aptitude with geospatial formats, sensor logs, and structured metadata (JSON/XML).
Desired/Bonus Skills:
- Background in Mining Engineering, Geotechnical Engineering, Robotics, Autonomous Vehicles, or Industrial Autonomy.
- Experience with autonomous haulage systems, telemetry logs, or industrial VLA models.
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Summary Statement:
This role involves high-precision annotation and quality review of multi-modal data to support AI/robotics for autonomous mining equipment. The ideal candidate combines technical annotation skills, mining domain knowledge, and a meticulous QA mindset to help build robust ground-truth data for next-generation autonomous systems.