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Geospatial Analysis Intern Jobs in Texas (NOW HIRING)

Geospatial Analysis Intern information

What does a Geospatial Analysis Intern do?

A Geospatial Analysis Intern assists with collecting, processing, and analyzing geographic data using tools like GIS (Geographic Information Systems) and remote sensing software. They help create maps, interpret satellite imagery, and support projects that require spatial analysis, such as urban planning, environmental assessment, or transportation studies. Interns often work under the supervision of experienced geospatial analysts and gain hands-on experience with industry-standard software and data sources.

What are the key skills and qualifications needed to thrive as a Geospatial Analysis Intern, and why are they important?

To thrive as a Geospatial Analysis Intern, you generally need foundational knowledge in geography, spatial analysis, and a relevant field of study such as GIS, environmental science, or urban planning. Familiarity with GIS software (like ArcGIS or QGIS), spatial databases, and basic coding skills in Python or R are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and present spatial data clearly. These abilities are critical for producing accurate analyses that inform decision-making and project outcomes in geospatial contexts.

What types of projects do Geospatial Analysis Interns typically work on, and how do they contribute to larger team goals?

As a Geospatial Analysis Intern, you'll often assist with projects involving data collection, mapping, and spatial analysis to support ongoing research or operational initiatives. Interns may help process satellite imagery, manage GIS databases, or create visual maps for presentations. Your work directly supports the team by providing accurate geographic data and insights that inform decision-making in fields like urban planning, environmental management, or logistics. Collaboration with GIS analysts, data scientists, and project managers is common, offering valuable exposure to real-world workflows and methodologies.
Infographic showing various Geospatial Analysis Intern job openings in Texas as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Management Intern - AgTech & Geospatial Data

Solar Digital Agro LLC

Austin, TX • On-site

Other

Posted 3 days ago


Job description

Location: Austin, Texas

Work Arrangement: Primarily On-site

Employment Type: Paid Internship

Internship Duration: 3 Months

Compensation: USD 3,000 per month

Potential Full-Time Salary: USD 50,000–100,000 per year, depending on the position, qualifications, experience, and performance


About the Company:

Our work focuses on agricultural technology, agricultural data services, market research, geospatial analysis, and related technology applications.

We are building an international and interdisciplinary team to explore practical applications of agricultural sensors, drones, satellite remote sensing, geographic information systems, and data analytics in U.S. and international agricultural projects.


Position Overview:

This is a multidisciplinary internship combining agricultural technology research, geospatial data analysis, project coordination, and business operations.

It is not a purely software-development or data-analysis position. The internship is designed for candidates interested in developing practical experience in agricultural technology while building skills in project coordination, technical research, data organization, communication, and cross-functional collaboration.


Key Responsibilities:

  • Support the planning, tracking, coordination, and periodic review of agricultural technology projects.
  • Research agricultural sensors, Internet of Things devices, field-monitoring equipment, and agricultural data-collection solutions.
  • Assist with research on drone applications in farm mapping, crop monitoring, land assessment, and agricultural data collection.
  • Organize and analyze satellite imagery, remote-sensing data, and agricultural geospatial information.
  • Use or learn GIS, data-visualization, and basic data-processing tools.
  • Assist with analyses involving agricultural remote-sensing indicators, including NDVI, EVI, and NDMI.
  • Support communication and project coordination with universities, research institutions, technology vendors, agricultural companies, and other project partners.
  • Prepare project reports, research summaries, meeting notes, presentations, and supporting materials.
  • Track developments in agricultural technology, drones, satellite systems, remote sensing, and geospatial information.
  • Participate in occasional field visits to farms, agricultural facilities, or partner project sites when required.
  • Perform other reasonable project-related duties consistent with the internship’s agricultural technology and project-coordination focus.


Qualifications:

  • Current undergraduate or graduate student, or a recent graduate, in a relevant field.
  • Preferred areas of study include Agricultural Engineering, Agricultural Technology, GIS, Remote Sensing, Geography, Environmental Science, Data Science, Computer Science, Engineering, Engineering Management, or a related discipline.
  • Strong interest in agricultural technology, drones, satellite remote sensing, GIS, data analytics, or technology project management.
  • Strong learning ability, organizational skills, attention to detail, and project-execution mindset.
  • Ability to manage multiple assignments and communicate progress clearly.
  • Proficiency with Microsoft Office, Google Workspace, or similar productivity tools.
  • Experience with Python, SQL, ArcGIS, QGIS, Google Earth Engine, data analytics, or remote-sensing software is preferred but not required.
  • Strong English communication and professional writing skills.
  • Chinese-language ability is a plus but is not required.
  • Comfortable working in a collaborative, interdisciplinary, and entrepreneurial environment.
  • Must be legally authorized to intern or work in the United States.


Compensation and Full-Time Opportunity:

This is a paid, three-month internship with compensation of USD 3,000 per month.

Successful completion of the internship does not guarantee continued employment. However, high-performing interns may be considered for conversion to a full-time position based on:

  • Individual performance;
  • Business needs;
  • Availability of a suitable position;
  • Relevant skills and experience; and
  • Continued work authorization.

The anticipated base salary range for eligible full-time positions is USD 50,000–100,000 per year. The actual position, responsibilities, and compensation will depend on the candidate’s performance, qualifications, experience, and the company’s business needs at the time of conversion.


What you will Gain:

  • Hands-on exposure to agricultural sensors, drones, satellite remote sensing, GIS, and agricultural data projects.
  • Experience supporting practical agricultural technology and project-development activities.
  • Development in project coordination, technical research, data analysis, reporting, and cross-functional collaboration.
  • Opportunities to support communication with universities, research institutions, agricultural companies, technology vendors, and other partners.
  • Consideration for the company’s long-term talent-development program and future full-time opportunities based on performance and business needs.


How to Apply:

Please apply through the LinkedIn job posting or submit the following materials to:

hr@space-time-tunnel.com

Please use the email subject line:

Application – AgTech & Geospatial Data Project Intern

Application materials may include:

  • English resume;
  • Brief personal introduction;
  • Available start date;
  • Weekly availability; and
  • Relevant coursework, projects, portfolios, or experience involving agricultural technology, GIS, drones, satellite remote sensing, project coordination, or data analytics.


Join us in developing practical technology solutions that connect agriculture, geospatial data, and the future.