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Remote Lidar Jobs in Portland, OR (NOW HIRING)

Geomatics/Survey Manager

Vancouver, WA · On-site +1

$130K - $180K/yr

Lead and supervise project survey teams across urban, rural, and remote areas of Washington and the ... Aerial Mapping Control and UAV LiDAR & Imagery surveys * Construction Staking (site development and ...

Remote Lidar information

What is a remote lidar?

A Remote Lidar job involves processing, analyzing, and interpreting LiDAR (Light Detection and Ranging) data while working remotely. Professionals in this role use specialized software to create 3D models, assess terrain, and support projects in industries like surveying, forestry, construction, and autonomous vehicles. Responsibilities may include data classification, point cloud editing, and QA/QC tasks. Strong skills in GIS, remote sensing, and LiDAR processing software are typically required.

What does a remote lidar do?

A typical day in a Remote Lidar position involves processing and analyzing raw LiDAR data, generating 3D models, and interpreting geospatial information to support project objectives. You may collaborate with multidisciplinary teams including surveyors, GIS specialists, and project managers through virtual meetings or shared platforms. Additionally, your tasks often include quality assurance, troubleshooting data anomalies, and preparing reports or visualizations for clients. Working remotely allows for flexibility, but strong self-management and clear communication are essential to maintain project timelines and effectively contribute to team goals.

What are the key skills and qualifications needed to thrive in the remote lidar position, and why are they important?

To thrive as a Remote Lidar specialist, you need a strong background in geospatial science, remote sensing, and data analysis, often supported by a degree in geography, surveying, or a related field. Proficiency with LiDAR processing software (such as LAStools, ArcGIS, or TerraScan), GIS platforms, and data management systems is typically required, and certifications in remote sensing or GIS can be advantageous. Attention to detail, effective communication, and problem-solving abilities are crucial soft skills for success in this role. These skills and qualifications ensure accurate, high-quality data analysis and foster effective collaboration on remote or distributed geospatial projects.

What are the most commonly searched types of Lidar jobs in Portland, OR?

The most popular types of Lidar jobs in Portland, OR are:

What are popular job titles related to Remote Lidar jobs in Portland, OR?

For Remote Lidar jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Lidar jobs in Portland, OR look for?

The top searched job categories for Remote Lidar jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Lidar jobs?

Cities near Portland, OR with the most Remote Lidar job openings:

Infographic showing various Remote Lidar job openings in Portland, OR as of August 2026, with employment types broken down into 79% Full Time, 10% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Senior Digital Twin and BIM Consultant

The AES Group

Portland, OR • Remote

Full-time

Re-posted 9 days ago


Job description

Role: Senior Digital Twin and BIM Consultant
Location: US Remote - PST hours
Role typr: C2H/FTE

Let’s create our future together at The AES Group!
About The AES Group:

The AES Group is a premier technology consulting company that has been bringing businesses and talent together for over 20 years to deliver the most innovative technology solutions that create the most positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies. 

About the Opportunity

We are seeking an experienced Senior Digital Twin and BIM Consultant to support one of the largest transportation infrastructure initiatives in North America. This role will help define and implement a Digital Twin strategy for a major interstate bridge replacement program, enabling a connected digital ecosystem that spans planning, design, construction, operations, and long-term asset management.

The ideal candidate has successfully implemented Digital Twin or BIM solutions on large civil infrastructure projects such as bridges, highways, rail, airports, tunnels, or other transportation megaprojects.

Responsibilities

  • Lead Digital Twin strategy and implementation for large infrastructure programs.
  • Develop Digital Twin architecture supporting the full asset lifecycle.
  • Define and implement BIM Execution Plans (BEP) aligned with ISO 19650 standards.
  • Establish and manage Common Data Environments (CDE) for multidisciplinary collaboration.
  • Integrate BIM, GIS, reality capture, IoT sensor data, and asset management information into a unified Digital Twin platform.
  • Collaborate with owners, engineering firms, contractors, and technology partners.
  • Develop Digital Twin use cases supporting:
    • Planning and environmental analysis
    • Public engagement and visualization
    • Design collaboration
    • Construction sequencing (4D)
    • Cost estimating (5D)
    • Asset management (6D)
    • Predictive maintenance
    • Sensor-based monitoring
  • Develop standards, governance, workflows, and information management processes.
  • Support software architecture evaluations and recommend Digital Twin technology platforms.
  • Guide implementation of open BIM standards and model-based project delivery.
  • Mentor engineering and project teams on Digital Twin best practices.
  • Support executive presentations and Digital Twin roadmap development.

Required Qualifications

  • 10+ years of experience delivering Digital Twin and BIM solutions.
  • Experience on transportation or heavy civil infrastructure projects exceeding $500M.
  • Demonstrated experience with:
    • Digital Twin implementation
    • Building Information Modeling (BIM)
    • ISO 19650
    • Common Data Environments
    • Information Management
    • Digital Delivery
  • Experience working with:
    • Bridges
    • Highways
    • Rail
    • Airports
    • Transit systems
  • Strong understanding of engineering workflows across planning, design, construction, and operations.
  • Experience integrating BIM with GIS and asset management platforms.
  • Excellent stakeholder communication and leadership skills.

Preferred Qualifications

Experience with one or more of:

  • Bentley OpenBuildings
  • Bentley iTwin
  • Autodesk Construction Cloud
  • Autodesk Civil 3D
  • Autodesk Revit
  • Navisworks
  • ProjectWise
  • Esri ArcGIS
  • OpenRoads Designer
  • Synchro 4D
  • InfraWorks
  • BIM 360
  • Azure Digital Twins
  • IoT platforms
  • Reality capture (LiDAR, drones, laser scanning)
  • BIM automation using Python or Dynamo

Preferred Industry Experience

Candidates with experience on projects similar to:

  • Interstate bridge replacement
  • Highway modernization
  • Airport expansion
  • Rail infrastructure
  • Smart cities
  • Digital delivery transformation
  • Transportation agencies (DOTs)
  • WSP
  • Jacobs
  • AECOM
  • HDR
  • HNTB
  • Parsons
  • AtkinsRéalis
  • Arup

Nice-to-Have Experience

  • Climate impact modeling
  • Equity impact analysis
  • Infrastructure asset management
  • Predictive maintenance
  • IoT sensors
  • AI-enabled infrastructure analytics
  • Model-based delivery
  • Open BIM standards
  • Public agency consulting
  • FHWA, or AASHTO standards

What Success Looks Like

  • Develop a scalable Digital Twin framework supporting planning through operations.
  • Implement standards aligned with ISO 19650 and BIM Execution Plans.
  • Improve collaboration across owners, designers, contractors, and operators.
  • Establish a robust Common Data Environment and governance framework.
  • Deliver Digital Twin capabilities that support visualization, lifecycle asset management, climate analysis, stakeholder engagement, and predictive maintenance.