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Remote Geospatial Jobs (NOW HIRING)

D. in Physics, Remote Sensing, Earth Science, Computer Science, Engineering, or a related technical/scientific field. * 5+ years of experience in geospatial research, analysis, and imagery data ...

NV5 Geospatial Offices or Remote * Domestic travel up to 30% of the time * Healthy base salary + incentive NV5 is a global technology solutions and consulting services company with a workforce of ...

GEOINT Analyst Mid

Charlottesville, VA ยท Remote

$110K - $150K/yr

Knowledge of digital cartography, image processing, computer technology, geographic information systems (GIS), geospatial production techniques, remote sensing, and photogrammetry * Ability to ...

The Remote Sensing Technician (RST) acquires airborne and Geodetic ground survey data. The RST is a ... At NV5 Geospatial, we are a collaboration of intelligent, innovative thinkers who care for each ...

Overview The Remote Sensing Technician (RST) acquires airborne and Geodetic ground survey data. The ... At NV5 Geospatial, we are a collaboration of intelligent, innovative thinkers who care for each ...

Overview The Remote Sensing Technician (RST) acquires airborne and Geodetic ground survey data. The ... At NV5 Geospatial, we are a collaboration of intelligent, innovative thinkers who care for each ...

Geospatial UAS Analyst

Bernalillo, NM ยท Remote

$37.54 - $42.24/hr

Serves as the primary Remote Pilot in Command for aerial data acquisition and manages the end-to ... Pueblo's Geospatial Asset Management System (GAMS). * In consultation with the GIS Manager ...

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Remote Geospatial information

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How much do remote geospatial jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for remote geospatial in the United States is $29.15, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $33.89 per hour, depending on experience, location, and employer.

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

To excel as a Remote Geospatial professional, a strong background in geographic information systems (GIS), spatial data analysis, and cartography is typically required, often supported by a degree in geography, environmental science, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, remote sensing software, and certifications like GISP enhance technical proficiency. Strong communication skills, self-motivation, and the ability to collaborate virtually are important soft skills for remote work environments. These capabilities are crucial for accurately analyzing spatial data, solving client problems, and efficiently contributing to distributed teams.

What is a Remote Geospatial job?

A Remote Geospatial job involves analyzing and interpreting geographic data using technologies like GIS, remote sensing, and GPS from a remote location. Professionals in this field work with maps, satellite imagery, and spatial data to support industries such as environmental science, urban planning, disaster management, and agriculture. These roles require proficiency in geospatial software and data analysis, as well as strong problem-solving skills. Remote positions allow professionals to collaborate with teams and clients globally while using cloud-based tools for data processing and visualization.

What does a typical day look like for a Remote Geospatial professional?

A typical day as a Remote Geospatial professional often involves processing and analyzing spatial data, creating maps and visualizations, and collaborating with team members through virtual meetings or project management platforms. You may work closely with clients or internal stakeholders to clarify project requirements and deliver geospatial insights that inform decision-making. Daily tasks can also include data cleaning, maintaining spatial databases, and producing reports or presentations. Since the role is remote, strong organizational skills and proactive communication are key to managing your workload and meeting project deadlines efficiently.

More about Remote Geospatial jobs
What cities are hiring for Remote Geospatial jobs? Cities with the most Remote Geospatial job openings:
What are the most commonly searched types of Geospatial jobs? The most popular types of Geospatial jobs are:
What states have the most Remote Geospatial jobs? States with the most job openings for Remote Geospatial jobs include:
Infographic showing various Remote Geospatial job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $60,627 per year, or $29.1 per hour.

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Tamus

Corpus Christi, TX โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Job Title

Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

Agency

Texas A&M Agrilife Research

Department

Corpus Christi

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service
  • Texas A&M AgriLife Research
  • College of Agriculture and Life Sciences at Texas A&M University
  • Texas A&M Forest Service
  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems.

One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.

Responsibilities:

- Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project.

- The candidate will work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture.

- Publish peer-reviewed papers and support grant writing.

- Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions.

- Publish peer-reviewed papers and support grant writing.

- work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed.

- Mentor graduate students learning to conduct geospatial science/engineering, remote sensing.

- Perform other job-related duties as assigned.

Required Qualifications:

- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline.

- Relevant professional experience.

- Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR).

- Proficiency in artificial intelligence, machine learning, and geospatial data analytics.

- Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable.

- Strong written and oral communication skills, including a demonstrated ability to publish in highquality peerreviewed journals.

- Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month
  • Automatic enrollment in theTeacher Retirement System of Texas
  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.