$94K - $124K/yr
... forestry, energy infrastructure, or utility-related technologies. * Familiarity with observability tools such as Sentry and Grafana. * Previous experience in climate tech, geospatial AI, remote ...
$94K - $124K/yr
... forestry, energy infrastructure, or utility-related technologies. * Familiarity with observability tools such as Sentry and Grafana. * Previous experience in climate tech, geospatial AI, remote ...
Remote Forestry information
See Missouri salary details
$27.2K - $29.3K
6% of jobs
$29.3K - $31.4K
6% of jobs
$33.2K is the 25th percentile. Wages below this are outliers.
$31.4K - $33.5K
14% of jobs
$33.5K - $35.6K
9% of jobs
$35.6K - $37.6K
11% of jobs
The median wage is $38.5K / yr.
$37.6K - $39.7K
11% of jobs
$39.7K - $41.8K
17% of jobs
$42.5K is the 75th percentile. Wages above this are outliers.
$41.8K - $43.9K
5% of jobs
$43.9K - $46K
10% of jobs
$46K - $48.1K
1% of jobs
$48.1K - $50.2K
11% of jobs
$27.2K
$39K
$50.2K
How much do remote forestry jobs pay per year?
As of Aug 18, 2026, the average yearly pay for remote forestry in Missouri is $38,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $43,600.00 per year, depending on experience, location, and employer.
What is a remote forestry?
A Remote Forestry job involves managing, monitoring, and analyzing forest resources using digital tools, satellite imagery, drones, and GIS software. These roles often focus on conservation, land management, wildfire prevention, and environmental research. Remote forestry professionals work from home or off-site locations, relying on technology to assess forest health, track deforestation, and support sustainable forestry practices.
What are the typical daily tasks and challenges encountered in a remote forestry position?
In a Remote Forestry role, your daily tasks often include analyzing satellite imagery, creating digital forest maps, compiling data reports, and coordinating with field teams through virtual meetings. One of the main challenges is ensuring accuracy and detail in forest assessments when you aren't physically present at the site, which requires keen attention to data quality and strong remote collaboration skills. You'll frequently communicate with other forestry professionals, landowners, and government agencies to support land management decisions or conservation projects. Continuous learning about the latest remote sensing technologies and maintaining a proactive approach to problem-solving greatly contribute to success in this role.
What are the key skills and qualifications needed to thrive in a remote forestry position, and why are they important?
To thrive in a Remote Forestry role, you need a strong background in forestry, environmental science, or natural resource management, often supported by a relevant degree or equivalent experience. Familiarity with GIS software, remote sensing tools, and forest inventory systems is typically required, along with certifications such as SAF (Society of American Foresters) or a drone pilot license. Strong analytical skills, independent problem-solving, and effective written communication are important soft skills for success in a remote work environment. These competencies are crucial for accurately assessing and managing forest resources while collaborating with stakeholders across locations.
What are the most commonly searched types of Forestry jobs in Missouri?
The most popular types of Forestry jobs in Missouri are:
What are popular job titles related to Remote Forestry jobs in Missouri?
For Remote Forestry jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Forestry jobs in Missouri look for?
The top searched job categories for Remote Forestry jobs in Missouri are:
What cities in Missouri are hiring for Remote Forestry jobs?
Cities in Missouri with the most Remote Forestry job openings:
$94K - $124K/yr
Full-time
Posted 11 days ago
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Geospatial Machine Learning Engineer based in Netherlands.
We are seeking a Senior Geospatial Machine Learning Engineer to develop advanced AI solutions that transform satellite and environmental data into actionable insights.
This role sits at the intersection of machine learning, geospatial technology, and climate innovation, helping solve complex challenges impacting critical infrastructure.
You will work on building and improving algorithms that analyze vegetation, assess risks, and support smarter decision-making for energy systems.
The position offers the opportunity to own impactful projects from experimentation through production while collaborating with multidisciplinary engineering and scientific teams.
You will contribute to the evolution of data-driven products using cutting-edge ML techniques, remote sensing data, and geospatial technologies.
This is an ideal opportunity for an experienced engineer passionate about applying AI to create meaningful environmental impact.
Accountabilities:
The Senior Geospatial Machine Learning Engineer will design, develop, and improve machine learning solutions that leverage geospatial data to deliver innovative environmental intelligence products. This role requires strong technical ownership, collaboration, and the ability to translate complex data challenges into practical solutions.
- Develop new geospatial intelligence products using Python-based geospatial libraries, machine learning, and deep learning techniques.
- Improve existing solutions through data exploration, model optimization, debugging, and performance enhancements.
- Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
- Lead technical projects from planning and experimentation through implementation, delivery, and stakeholder communication.
- Build tools and processes to evaluate model performance, product impact, and data-driven prioritization.
- Collaborate with data engineering, product, platform, and delivery teams throughout the full machine learning product lifecycle.
- Contribute to technical direction, engineering practices, and team culture within a fast-growing environment.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
The ideal candidate is an experienced machine learning or geospatial engineer with strong expertise in Python, scientific computing, and applied AI. They should be comfortable working independently, leading projects, and applying advanced technology to environmental and infrastructure challenges.
- 8-10+ years of experience in machine learning engineering, geospatial engineering, remote sensing, or a closely related technical field.
- Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas.
- Experience with scientific Python tools including NumPy, SciPy, scikit-learn, and Pandas.
- Practical experience developing deep learning solutions using frameworks such as PyTorch and/or TensorFlow.
- Strong understanding of satellite imagery, aerial imagery, and geospatial raster/vector data processing.
- Experience with workflow orchestration tools such as Dagster or similar platforms.
- Ability to independently lead initiatives, manage technical projects, and communicate results effectively.
- Passion for climate technology and using machine learning to address complex environmental problems.
Nice-to-have qualifications:
- Experience with vegetation science, forestry, energy infrastructure, or utility-related technologies.
- Familiarity with observability tools such as Sentry and Grafana.
- Previous experience in climate tech, geospatial AI, remote sensing, or environmental data companies.
- Fully remote work environment with flexibility across eligible locations.
- Opportunity to work on impactful climate technology projects using AI and satellite data.
- Ability to influence technical direction, processes, and product development within a growing organization.
- Collaboration with a diverse international team across engineering, product, design, and platform functions.
- Exposure to cutting-edge machine learning, geospatial technologies, and real-world applications.
- Inclusive culture focused on solving meaningful problems through technology.
- Opportunity for professional growth in a mission-driven environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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