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Remote Sensing Jobs in Texas (NOW HIRING)

YO AI Labs

GIS/Geospatial Expert

Austin, TX · Remote

$80 - $100/hr

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork ...

Tamus

Postdoctoral Research Associate

El Paso, TX · On-site +1

Develop, implement, and validate remote-sensing-enabled models for transboundary surface-water and groundwater assessment, including the integration of NASA EO products (e.g., GRACE/GRACE-FO, SWOT ...

Wood Plc

Distribution Engineer (remote)

Dallas, TX · On-site +1

Knowledge of smart infrastructure equipment such as automatic feeder switches, remote sensing switching, remote sensing cap banks and other smart equipment * Knowledge of PV's and EV's * Strong ...

Tamus

Postdoctoral Research Associate

Temple, TX · On-site +1

Proficiency in proximal sensing, GIS, and remote sensing. Ability to multi-task and work cooperatively with others. Preferred Qualifications: Advanced ML/AI experience in digital soil mapping ...

Wiser

Junior Geospatial Technician (Remote)

Denton, TX · On-site +1

$16.50/hr

Exposure to remote sensing (ERDAS Imagine) preferred * Previous Land and Ground Cover (Janus Geography, VISNAV, IWLSISS, and/or SoilScape) preferred Work Environment * Work is performed remotely ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Domain - Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets. About Arva Intelligence Arva is a machine learning software-based SaaS company with offices ...

ExxonMobil

Post Doctorate Research Associate

Spring, TX · On-site +1

Experience with remote sensing integration (LiDAR, UAV, satellite) * Experience with surface-groundwater interaction studies and aquifer characterization * Familiarity with regulatory or applied ...

Tamus

Postdoctoral Research Associate

Temple, TX · On-site +1

Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial technologies. The successful ...

ExxonMobil

Post Doctorate Research Associate

Spring, TX · On-site +1

Experience with remote sensing integration (LiDAR, UAV, satellite) * Experience with surface-groundwater interaction studies and aquifer characterization * Familiarity with regulatory or applied ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

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Remote Sensing information

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$25

$29

$32

How much do remote sensing jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote sensing in Texas is $29.40, according to ZipRecruiter salary data. Most workers in this role earn between $27.69 and $31.15 per hour, depending on experience, location, and employer.

What is remote sensing?

Remote sensing is the science and technology of obtaining information about objects or areas from a distance, typically using aircraft or satellites. It involves capturing data through sensors that detect reflected or emitted energy from the Earth's surface. This information is used in various fields such as environmental monitoring, agriculture, urban planning, and disaster response. Remote sensing allows for large-scale data collection without direct contact, making it invaluable for tracking changes over time.

What is remote sensing?

Remote sensing is the process of using satellite, sonar, and aerial imagery to gather information about an area. Remote sensing is often used to collect information on the spread of forest fires, track weather formations, and map the bottom of the ocean. In most time-sensitive cases, sensors are attached to a drone or airplane so they can collect data and add it to the Geospatial Information System (GIS). For businesses, remote sensing is typically used for land surveying, commercial and economic planning, early warning systems, and air traffic control. Remote sensing information is also available through public programs like Google Earth which allow researchers and companies to analyze information without having to collect it themselves.

What are the key skills and qualifications needed to thrive as a remote sensing specialist, and why are they important?

To thrive as a Remote Sensing Specialist, you need expertise in geospatial analysis, image processing, and a background in environmental science, geography, or a related field. Proficiency in GIS software (such as ArcGIS or QGIS), remote sensing tools (like ENVI or ERDAS Imagine), and programming languages (like Python or R) is typically required. Strong analytical thinking, attention to detail, and effective communication skills make a candidate stand out. These abilities are vital for accurately interpreting satellite or aerial data and translating insights into actionable information for decision-makers.

What are some common challenges faced by professionals working in remote sensing, and how can they be addressed?

Professionals in remote sensing often encounter challenges such as handling and processing large volumes of complex data, staying updated with rapidly evolving technology, and ensuring data accuracy for analysis. These can be addressed by developing strong skills in data management and using advanced software tools, participating in continuous learning opportunities, and collaborating closely with multidisciplinary teams such as GIS analysts, data scientists, and field researchers. Establishing clear workflows and maintaining open communication with stakeholders also helps ensure project goals are met effectively.

What is the difference between Remote Sensing vs GIS Analyst?

AspectRemote SensingGIS Analyst
Required CredentialsBachelor's in Geography, Environmental Science, or related; often GIS or remote sensing certificationsBachelor's in Geography, GIS, or related; GIS certifications common
Work EnvironmentField data collection, satellite image analysis, laboratory workOffice-based, map creation, spatial data analysis
Industry UsageEnvironmental monitoring, agriculture, defense, urban planningUrban planning, transportation, utilities, environmental management
Search & Comparison IntentFocus on satellite data analysis and image processingFocus on spatial data management and map creation

Remote Sensing and GIS Analyst roles share overlapping skills in spatial data and GIS tools, but Remote Sensing emphasizes satellite and aerial image analysis, while GIS Analysts focus on managing and analyzing geographic data for mapping and decision-making.

Does remote sensing pay well?

Remote sensing professionals typically earn competitive salaries that vary based on experience, education, and location. Entry-level positions may start lower, but experienced analysts or specialists with skills in GIS, satellite imagery, and data analysis can earn higher wages, especially in industries like defense, environmental management, and geospatial technology.

What can I do with remote sensing?

Remote sensing professionals analyze satellite or aerial imagery to monitor environmental changes, manage natural resources, and support urban planning. They use tools like GIS software and may require skills in data analysis, image processing, and knowledge of sensor technologies.

What careers use remote sensing?

Remote sensing is used in careers such as environmental scientists, GIS analysts, cartographers, and remote sensing specialists. These roles involve analyzing satellite or aerial imagery to monitor land use, climate change, natural resources, and disaster management, often requiring skills in GIS software and remote sensing tools like LiDAR and multispectral imaging.
More about Remote Sensing jobs

What are popular job titles related to Remote Sensing jobs in Texas?

For Remote Sensing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Sensing jobs in Texas look for?

The top searched job categories for Remote Sensing jobs in Texas are:

What cities in Texas are hiring for Remote Sensing jobs?

Cities in Texas with the most Remote Sensing job openings:

Remote Sensing jobs near you
Infographic showing various Remote Sensing job openings in Texas as of September 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.

GIS/Geospatial Expert

Austin, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 17 days ago

Job description

Job Title: GIS & Geospatial AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments.

The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.

No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions.

Scope of Work
  • Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics.
  • Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science.
  • Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools.
  • Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes.
  • Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes.
  • Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them.
  • Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate.
  • Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials.
  • Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment.
Required Skills
  • GIS / Geospatial Analysis
  • Remote Sensing
  • Spatial Analytics
  • Python
  • AI Coding Agents
  • Technical Documentation
  • Problem-Solving
  • Analytical Thinking
  • Written and Verbal Communication
  • Stakeholder Collaboration
Preferred Qualifications
  • Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline.
  • Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science, to solve technical problems.
  • Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects.
  • Ability to document complex technical workflows clearly for both technical and non-technical audiences.
  • Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes.
  • Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance.
  • Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms.
  • Current or recent professional engagement in a technical STEM or geospatial role.
  • Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement.
  • Ability to work independently in a remote environment while collaborating effectively with project stakeholders.