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Remote Climate Modeling Jobs (NOW HIRING)

Define Ford Well-Known Signals, event models, signal mappings, enumerations, units, and expected ... Connected Feature Governance Define operational behavior for remote climate control, remote start ...

High level of comfort with quantitative aspects of simple climate modeling, statistics and basic energy analysis (we will ask for evidence of this-prior coursework or research/work experience will do.

Catastrophe Risk Modeler

Kansas City, KS ยท On-site +1

$125K - $162K/yr

... modeling, data analytics, and geospatial analysis to support state insurance regulators in ... This is a full-time remote position. Residency within the United States is required.

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How much do remote climate modeling jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for remote climate modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What is remote climate modeling?

Remote climate modeling refers to the use of computer simulations and data analysis to study and predict climate patterns, typically from a remote location rather than a traditional office or laboratory. Professionals in this field use various climate models to understand atmospheric, oceanic, and land processes and assess future climate scenarios. This work often involves collaborating with scientists, analyzing large datasets, and using advanced software tools. Remote positions allow climate modelers to contribute to important environmental research while working from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote climate modeler?

To thrive as a Remote Climate Modeler, you need a strong background in atmospheric science, mathematics, and programming, often supported by an advanced degree in a related field. Familiarity with climate modeling software (such as WRF or CESM), statistical analysis tools, and proficiency in programming languages like Python or Fortran are typically required. Strong analytical thinking, problem-solving skills, and clear communication are vital for interpreting complex data and collaborating with multidisciplinary teams. These abilities ensure accurate climate predictions, effective research outcomes, and informed decision-making in environmental policy and planning.

What are common challenges faced when collaborating remotely as a climate modeler, and how can they be addressed?

Remote climate modelers often work with interdisciplinary teams spread across different time zones, which can make real-time communication and data sharing challenging. To overcome these obstacles, it's important to establish clear communication channels and regular virtual meetings to align on project goals and timelines. Leveraging collaborative tools for code versioning, data management, and documentation also helps ensure smooth teamwork. Staying proactive about updates and maintaining open lines of feedback can significantly improve coordination and project outcomes.
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Infographic showing various Remote Climate Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

Senior Digital Twin and BIM Consultant

Lynnwood, WA โ€ข Remote

$70 - $80/hr

Full-time

Re-posted 21 days ago


Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Senior Digital Twin and BIM ConsultantLocation: US Remote, working Pacific Time hours
Employment Type: Full-Time
Let’s Create Our Future Together at The AES Group
For more than 20 years, The AES Group has connected leading organizations with exceptional technology talent and innovative solutions. Our work across cloud, data, AI, and emerging technologies helps businesses modernize operations, accelerate transformation, and create meaningful impact.
Why Join This Opportunity?
  • Work remotely within the United States
  • Contribute to a major transportation infrastructure program
  • Shape a Digital Twin strategy spanning the complete asset lifecycle
  • Collaborate with multidisciplinary engineering and technology teams
  • Influence long-term infrastructure operations and asset management
About the Role
The AES Group is seeking a Senior Digital Twin and BIM Consultant to define and implement a connected digital ecosystem for a large transportation infrastructure initiative.
The successful professional will bring extensive experience implementing Digital Twin and BIM solutions across bridges, highways, rail, airports, tunnels, transit systems, or other large civil infrastructure programs.
Key Responsibilities
  • Lead Digital Twin strategy, architecture, roadmaps, and implementation across planning, design, construction, operations, and asset management.
  • Develop BIM Execution Plans aligned with ISO 19650 and model-based delivery standards.
  • Establish and manage Common Data Environments for secure, multidisciplinary information exchange.
  • Integrate BIM, GIS, reality capture, IoT sensors, and asset management information into a unified Digital Twin platform.
  • Define use cases for visualization, environmental analysis, public engagement, 4D sequencing, 5D estimating, 6D asset management, and predictive maintenance.
  • Create governance standards, workflows, data structures, and information management processes.
  • Evaluate software architectures and recommend scalable Digital Twin platforms.
  • Promote open BIM standards and consistent digital delivery practices.
  • Mentor engineering and project teams on Digital Twin methodologies.
  • Prepare executive presentations, implementation plans, and strategic recommendations.
Required Qualifications
  • 10+ years of experience delivering Digital Twin, BIM, or digital engineering solutions.
  • Experience supporting transportation or heavy civil infrastructure programs valued above $500 million.
  • Strong knowledge of ISO 19650, BIM Execution Plans, Common Data Environments, information management, and digital delivery.
  • Experience integrating BIM with GIS, IoT, reality capture, or asset management platforms.
  • Understanding of engineering workflows across planning, design, construction, operations, and maintenance.
  • Proven leadership, stakeholder management, presentation, and communication skills.
Preferred Technical Experience
Experience with several of the following:
  • Bentley iTwin, OpenBuildings, ProjectWise, OpenRoads Designer, or Synchro 4D
  • Autodesk Construction Cloud, Civil 3D, Revit, Navisworks, InfraWorks, or BIM 360
  • Esri ArcGIS or Azure Digital Twins
  • IoT platforms and sensor-based monitoring
  • LiDAR, drones, laser scanning, and other reality-capture technologies
  • BIM automation using Python or Dynamo
Additional experience with climate modeling, infrastructure asset management, AI-enabled analytics, predictive maintenance, smart cities, open BIM, transportation standards, and public-sector programs is highly valued.
What Success Looks Like
  • A scalable Digital Twin framework supporting the full infrastructure lifecycle
  • ISO 19650-aligned standards and BIM execution processes
  • Strong governance and a reliable Common Data Environment
  • Improved collaboration across engineering, construction, technology, and operations teams
  • Digital capabilities supporting visualization, climate analysis, engagement, asset performance, and predictive maintenance
Ready to make an impact? Apply now and join us on our journey!

This is a remote position.