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Freelance Lidar Data Processing Jobs (NOW HIRING)

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Decision-making processes across the enterprise ecosystem are heavily driven by data, as are ... LiDAR Analyst Location : Bellevue, WA No of openings: 30 positions Duration: Full Time Rate:$15/hr ...

LiDAR Technician I

Austin, TX · On-site

$19.50 - $26.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Purpose Supports LiDAR data processing and production workflows under direct supervision. Performs foundational geospatial tasks while developing proficiency in LiDAR processing software, data ...

Lidar Quality Analyst

Fairfax, VA · Remote

$69K - $88K/yr

Creation and analysis of derivative data layers * Supporting and leading process improvements ... ASPRS Positional accuracy Standards for Digital Geospatial Data (2014), USGS Lidar Base ...

LiDAR Technician I

Austin, TX

$19.50 - $26.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Purpose Supports LiDAR data processing and production workflows under direct supervision. Performs foundational geospatial tasks while developing proficiency in LiDAR processing software, data ...

Decision-making processes across the enterprise ecosystem are heavily driven by data, as are ... LiDAR Analyst Location : Bellevue, WA No of openings: 30 positions Duration: Full Time Rate:$15/hr ...

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Freelance Lidar Data Processing information

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

As of Aug 15, 2026, the average hourly pay for freelance 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 common challenges faced by freelance lidar data processors when working with clients remotely?

Freelance Lidar data processors often encounter challenges related to data transfer, communication, and project scope. Large Lidar datasets can be difficult to share securely and efficiently over the internet, requiring robust cloud storage solutions. Additionally, clear communication with clients about data requirements, project timelines, and deliverables is essential to prevent misunderstandings. Freelancers must also stay adaptable, as client needs or project specifications may evolve during processing. Establishing strong workflows and using collaboration tools can help address these challenges.

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

AspectFreelance Lidar Data ProcessingGIS Analyst
CredentialsTechnical skills in lidar software, often self-taught or certifications in lidar processingDegree in geography, GIS, or related field; certifications like GISP beneficial
Work EnvironmentRemote, project-based, flexible scheduleOffice or remote, often full-time or part-time
Industry UsagePrimarily in surveying, mapping, environmental projectsUrban planning, environmental management, transportation

Freelance Lidar Data Processing focuses on processing and analyzing lidar point cloud data independently, often on a project basis. GIS Analysts work with spatial data, including lidar, but also handle a broader range of geographic information systems tasks. Both roles require technical skills, but Freelance Lidar Data Processing is more specialized in lidar data handling, while GIS Analysts have a wider scope in spatial analysis and mapping.

What skills and qualifications are needed to thrive as a freelance lidar data processing specialist?

To excel as a Freelance Lidar Data Processing specialist, you need proficiency in geospatial data analysis, strong attention to detail, and a background in GIS, remote sensing, or a related field. Familiarity with Lidar processing software such as LAStools, TerraScan, or ArcGIS, along with knowledge of point cloud data formats, is typically required. Strong problem-solving skills, self-management, and clear communication with clients make a freelancer stand out. These skills are crucial to deliver accurate, high-quality spatial data products and maintain client trust in a competitive, project-based environment.

What is freelance lidar data processing?

Freelance LiDAR data processing involves working independently to analyze and process LiDAR (Light Detection and Ranging) data for clients in fields like mapping, surveying, forestry, and urban planning. Professionals in this role typically handle tasks such as cleaning raw LiDAR point clouds, extracting features, generating digital elevation models, and creating detailed maps or 3D models. Freelancers may use specialized software and work on a project-by-project basis, offering flexibility to both clients and service providers. This work requires technical proficiency, attention to detail, and the ability to deliver accurate results on deadlines.
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Infographic showing various Freelance Lidar Data Processing job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, 13% Part Time, 4% Temporary, and 12% Contract. Highlights an 75% In-person, 2% Hybrid, and 23% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Full-time

Posted 15 days ago


Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.