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Remote Point Cloud Modeling Jobs (NOW HIRING)

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

Develop robust point cloud processing and filtering for reliable operation * Build and maintain ... Background in Gazebo or other physics simulation for sensor modeling Remote Work Requirements This ...

WoodmenLife

Cloud Engineer III

Omaha, NE · On-site +1

$113.02K - $159.59K/yr

Remote (U.S.) with optional hybrid work from our Omaha office Reports To: Manager, Systems ... Support identity governance through Entra ID and least-privilege models Resilience, Business ...

Path Robotics

Machine Learning Engineer, Perception

Columbus, OH · On-site +1

$100.90K - $138.60K/yr

Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production. * Experience with 3D point cloud data and libraries such as ...

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How much do remote point cloud modeling jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote point cloud modeling in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Point Cloud Modeler, and why are they important?

To thrive as a Remote Point Cloud Modeler, you need expertise in 3D modeling, spatial data interpretation, and proficiency with point cloud processing, often supported by a degree in geomatics, engineering, or architecture. Familiarity with technical tools such as Autodesk ReCap, Bentley Pointools, and laser scanning equipment, as well as certifications in CAD or BIM, are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills ensure accurate digital representations, efficient project collaboration, and high-quality deliverables critical for industries like construction, surveying, and design.

What are some common challenges faced by professionals working in remote point cloud modeling, and how can they be addressed?

One common challenge in remote point cloud modeling is managing large data files, which can cause slow upload/download speeds and software lag. Ensuring a reliable internet connection and using cloud-based collaboration tools can help mitigate these issues. Additionally, clear communication with team members is crucial, as remote work can sometimes lead to misunderstandings about project specifications or deadlines. Regular virtual meetings and detailed documentation can help keep everyone aligned and projects on track.

What is remote point cloud modeling?

Remote point cloud modeling involves creating 3D digital representations of objects or spaces using point cloud data, which is typically collected through laser scanners or photogrammetry. The 'remote' aspect means that the modeling work is performed from a location other than the site where the data was captured, often using specialized software to process and interpret the data. This technology is widely used in industries such as construction, architecture, surveying, and engineering for tasks like as-built documentation, measurement, and visualization. Remote point cloud modelers convert raw point cloud data into usable models, such as BIM or CAD files, that are valuable for planning, analysis, and project management.
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Remote Point Cloud Modeling jobs near you
Infographic showing various Remote Point Cloud Modeling job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
LiDAR Subject Matter Expert (Remote)

LiDAR Subject Matter Expert (Remote)

Turner Mining Group

San Antonio, TX • Remote

Full-time

Posted 17 days ago

Job description

Position Overview

Our client is seeking a highly motivated and detail-oriented LiDAR Subject Matter Expert (SME) to support telecom and infrastructure projects through advanced geospatial data analysis and technical guidance. This role is ideal for a candidate with strong experience in LiDAR processing, GIS platforms, and point cloud analysis who thrives in a collaborative, fast-paced environment.

The LiDAR SME will serve as a technical resource responsible for reviewing terrestrial, aerial, and mobile LiDAR collection data gathered by field survey and drone pilot teams. This individual will evaluate deliverables for quality, accuracy, and usability while providing actionable feedback and recommendations to both internal stakeholders and end customers regarding project logistics, collection optimization, and workflow improvements.

The ideal candidate combines technical expertise with excellent communication and documentation skills, helping establish best practices, create SOPs, and support continuous improvement initiatives across the organization.

Key Responsibilities
  • Review and analyze LiDAR collection datasets from terrestrial, aerial, and mobile platforms
  • Perform quality assurance and quality control (QA/QC) on point cloud data and geospatial deliverables
  • Apply techniques such as noise reduction, point cloud clarification, classification, and data refinement
  • Collaborate with survey crews, drone pilots, GIS specialists, and project managers to improve collection workflows and project execution
  • Provide technical feedback and recommendations to customers regarding telecom project logistics, data quality, and operational efficiencies
  • Interpret and validate geospatial data using platforms such as ArcGIS, AutoCAD/Civil 3D, and related GIS/CAD tools
  • Develop and maintain SOPs, technical documentation, workflow guides, and training materials
  • Support process standardization and continuous improvement initiatives across LiDAR operations
  • Assist with troubleshooting data collection or processing issues and recommend corrective actions
  • Participate in client meetings and occasional field visits as needed
Required Qualifications
  • 7+ years of experience working with LiDAR technologies, geospatial analysis, or related surveying/GIS disciplines
  • Strong working knowledge of GIS and CAD platforms, including:
    • ArcGIS
    • AutoCAD
    • Civil 3D
    • Other relevant geospatial processing software
  • Experience reviewing and interpreting point cloud datasets
  • Understanding of LiDAR processing workflows, including classification, noise reduction, and data refinement
  • Excellent written and verbal communication skills
  • Strong technical writing ability with experience creating SOPs, documentation, or workflow guides
  • Ability to manage multiple projects and priorities in a remote work environment
  • High attention to detail and analytical problem-solving skills
Preferred Qualifications
  • Experience supporting telecom, utility, or infrastructure projects
  • Familiarity with drone-based surveying and photogrammetry workflows
  • Experience working with mobile mapping systems and terrestrial scanning technologies
  • Knowledge of FAA drone operations or remote sensing technologies
  • Prior experience interacting directly with clients or external stakeholders
Work Environment & Travel
  • Fully remote position with flexible collaboration across distributed teams
  • Up to 20% travel may be required for client meetings, project coordination, training, or field support
Why Join Our Client?
  • Opportunity to work with cutting-edge LiDAR and geospatial technologies
  • Exposure to large-scale infrastructure and telecom projects
  • Collaborative and innovation-focused team environment
  • Career growth opportunities within a rapidly evolving technical field
  • Ability to make a direct impact on operational excellence and project success