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Remote Lidar Data Processing Jobs (NOW HIRING)

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Remote Lidar Data Processing information

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How much do remote lidar data processing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for remote lidar data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Lidar Data Processing Specialist, and why are they important?

To thrive as a Remote Lidar Data Processing Specialist, you need a solid background in geospatial sciences, data analysis, and remote sensing, often supported by a relevant degree such as geography, GIS, or engineering. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience with data formats such as LAS and point cloud processing, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for ensuring data accuracy and collaborating with team members. These skills and qualifications are important because they enable precise data interpretation, efficient workflow, and the delivery of high-quality geospatial products to clients.

What are some common challenges faced by professionals in remote Lidar data processing roles, and how can they be overcome?

Professionals working in remote Lidar data processing often encounter challenges such as managing large datasets, ensuring data accuracy, and troubleshooting software or hardware compatibility issues. Effective organization and use of cloud-based storage solutions can help handle large volumes of data efficiently. Additionally, staying up-to-date with the latest processing software and regularly participating in team meetings or online forums can aid in resolving technical problems and maintaining data quality. Proactive communication with team members also ensures smooth collaboration, even in a remote work setting.

What is remote LiDAR data processing?

Remote LiDAR data processing involves handling and analyzing LiDAR (Light Detection and Ranging) data from a location other than where the data was collected. Professionals use specialized software to process large datasets, extract features like terrain models or vegetation, and generate 2D or 3D representations of landscapes. This remote work setup allows teams to collaborate globally, efficiently process data for industries like mapping, forestry, and urban planning, and deliver results without being physically present at the survey site.

What is the difference between Remote Lidar Data Processing vs Remote GIS Analyst?

AspectRemote Lidar Data ProcessingRemote GIS Analyst
Required CredentialsTypically requires GIS or remote sensing certifications, technical skills in lidar softwareRequires GIS certifications, spatial analysis skills, and often a degree in geography or related field
Work EnvironmentPrimarily technical, focused on lidar data handling and processing softwareMore analytical, involving spatial data analysis, mapping, and reporting
Industry UsageUsed in surveying, mapping, environmental monitoring, infrastructure planningApplied in urban planning, environmental management, resource allocation

Remote Lidar Data Processing focuses on handling and analyzing lidar point cloud data, while Remote GIS Analysts interpret spatial data for decision-making. Both roles require GIS knowledge but differ in technical focus and application areas.

More about Remote Lidar Data Processing jobs
What cities are hiring for Remote Lidar Data Processing jobs? Cities with the most Remote Lidar Data Processing job openings:
What are the most commonly searched types of Lidar Data Processing jobs? The most popular types of Lidar Data Processing jobs are:
What states have the most Remote Lidar Data Processing jobs? States with the most job openings for Remote Lidar Data Processing jobs include:
Infographic showing various Remote Lidar Data Processing job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 57% Full Time, 31% Part Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 6% Physical, 19% Hybrid, and 75% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.
LiDAR Subject Matter Expert (Remote)

LiDAR Subject Matter Expert (Remote)

Turner Mining Group

San Antonio, TX โ€ข Remote

Full-time

Posted 18 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