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Remote Mapping Jobs in Kansas (NOW HIRING)

Overstory

Architect and build advanced ML models to map and predict vegetation and fuel conditions across ... Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

ArcGIS Online and Web Mapping Applications * Batch Scripting * SQL Database Management and analysis ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

Locatee AG

Customer journey maps, service blueprints, and jobs-to-be-done mapping are tools you've used in ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

New

Locatee Ag

Customer journey maps, service blueprints, and jobs-to-be-done mapping are tools you've used in ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

New

Exodigo

$160K - $180K/yr

Description Exodigo is the leading underground mapping solution for non-intrusive discovery. Our ... Ability to thrive independently in a remote, high-growth startup environment * Comfortable with ...

Scopely

... remote basis. At Scopely, we care deeply about what we do and want to inspire play every day ... Strong planning and execution fundamentals: scope, milestones, dependency mapping, and risk ...

NinjaOne

Enterprise Account Executive, MSP

Kansas, KS · On-site +1

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Excellent business acumen and the ability to map NinjaOne's solutions to MSP-specific pain points ...

Sodexo

Sales Director- Seniors

Topeka, KS · Remote

This role owns the full sales cycle-from market mapping and prospecting through discovery, solution ... This is a remote opportunity with expected travel up to 50-60%.IncentivesCommission plan, vehicle ...

Finite State

$99.60K - $100K/yr

... mapping, vulnerability handling obligations, technical documentation maintenance, and post-market ... in a fully remote operating environment Customer Engagement and Account Management * Serves as ...

Sodexo

Sales Director- Seniors

Topeka, KS · Remote

This role owns the full sales cycle-from market mapping and prospecting through discovery, solution ... This is a remote opportunity with expected travel up to 50-60%. Incentives Commission plan, vehicle ...

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See Kansas salary details

$21.2K

$76.1K

$157.2K

How much do remote mapping jobs pay per year?

As of May 30, 2026, the average yearly pay for remote mapping in Kansas is $76,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,291.00 and $104,188.00 per year, depending on experience, location, and employer.

What is a Remote Mapping job?

A Remote Mapping job involves using geographic information systems (GIS), satellite imagery, and spatial data to create or update maps from a remote location. These roles are common in industries like urban planning, disaster response, environmental monitoring, and navigation services. Tasks may include digitizing maps, analyzing geographical data, and ensuring accuracy in mapping systems. Remote mappers often use tools like QGIS, ArcGIS, or OpenStreetMap to perform their work.

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

To thrive in Remote Mapping, you need proficiency in geospatial analysis, map interpretation, and data accuracy, typically supported by a background in GIS, geography, or related fields. Familiarity with tools such as ArcGIS, QGIS, remote sensing software, and satellite imagery is often required, along with certifications like GISP being an advantage. Strong attention to detail, self-motivation, and effective communication skills are valuable soft skills for this position. These abilities are crucial for producing reliable mapping data, collaborating with distributed teams, and meeting project deadlines in a remote work environment.

What are the typical challenges faced in a Remote Mapping role?

Remote Mapping professionals often encounter challenges such as interpreting satellite or aerial imagery with limited on-the-ground context, ensuring data accuracy across diverse locations, and managing large datasets efficiently. Working remotely can also require strong self-discipline and proactive communication to stay aligned with team goals and project updates. Additionally, adapting quickly to new mapping technologies and software is essential to maintain productivity and meet client expectations. Successfully overcoming these challenges leads to high-quality deliverables and career growth within the geospatial industry.
More about Remote Mapping jobs
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Remote Mapping jobs near you
Infographic showing various Remote Mapping job openings in Kansas as of May 2026, with employment types broken down into 77% Full Time, 12% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $76,138 per year, or $36.6 per hour.

Staff Machine Learning Engineer - Wildfire

Overstory

On-site, Remote

Other

Posted 22 days ago

Job description

Role & Team

As a Staff Machine Learning Engineer at Overstory, you will lead the development and scaling of our Wildfire Fuel Detection Model. This core engine powers how we understand vegetation structure, fuel loads, and wildfire risk from satellite and environmental data. You'll help shape the next generation of Overstory's modeling capabilities by combining cutting-edge ML techniques, large-scale geospatial data, and real-world domain expertise.

Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers, and product teams to ensure our wildfire models are accurate, robust, and production-ready - balancing scientific rigor with practical engineering excellence. As a senior technical leader, you'll mentor other engineers, drive architectural decisions, and define standards for modeling, experimentation, and deployment across Overstory.

Time zone requirement: Eastern North America (NST, AST, EST)

What You'll Do

In collaboration with data, ML, and science colleagues, you will:

  • Architect and build advanced ML models to map and predict vegetation and fuel conditions across diverse geographies.
  • Design and maintain robust data and feature pipelines for large-scale geospatial and temporal data.
  • Partner with wildfire science and product teams to define modeling objectives and evaluation metrics tied to real-world impact.
  • Build reproducible experimentation frameworks and model evaluation workflows.
  • Scale models from research to production with a focus on performance, reliability, and explainability.
  • Lead the evolution of ML systems, tooling, and processes - ensuring that our wildfire fuelscape models remain state-of-the-art and maintainable.
  • Collaborate with MLOps peers to streamline training, inference, and monitoring in production environments.
Skills & Experience
  • Experience thriving at the intersection of machine learning, geospatial data, and environmental science; deeply motivated by the opportunity to reduce wildfire risk through data-driven insights
  • 10+ years of experience designing and building production-grade ML pipelines and systems 
  • Strong background in deep learning, computer vision, or remote sensing
  • Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring
  • Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas
  • Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms
  • Strong communication skills and ability to collaborate across technical and scientific domains
  • Comfortable leading architectural discussions and mentoring other engineers
Nice To Have
  • Background in wildfire science, forestry, or remote sensing
  • Experience integrating physics-based models with ML or working with active learning and uncertainty quantification
  • Experience in model interpretability and data provenance for environmental ML systems
  • Experience with deep learning models for weather or climate data
  • Experience in remote-first or globally distributed teams

Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.

What We Offer
  • Competitive, location-specific compensation and benefits 
  • Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
  • Home office stipend, coworking and ongoing education budgets 
  • A company culture that genuinely embodies each of our core values
  • To be part of truly mission-driven work that reduces wildfires, protects earth's natural resources and helps solve our climate crisis

Apply