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Remote Earth Science Research Jobs (NOW HIRING)

Strayos

$13 - $17.50/hr

... remote sensing and machine learning techniques to solve challenging research questions. To ... Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of ...

Pae

Software Engineer

Huntsville, AL · On-site +1

The SPoRT project is a NASA leader in translating NASA Earth Science research to real-time decision ... Remote Sensing or a related technical field from an ABET-accredited university. * Bachelor's degree ...

Leidos

Palmer Research Associate (Alternate)

... sciences at remote Antarctic field stations, works with advanced scientific instrumentation ... Knowledge of low-earth-orbit (LEO) and polar orbit satellite systems, and multi-spectral image ...

Muon Space

Senior Applied Scientist, Geospatial

$123K - $176K/yr

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 ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... Riverside Research, government, military, and contractor personnel to apply experience with intelligence analysis and remote sensing technologies to answer specific science, technology, and ...

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How much do remote earth science research jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote earth science research in the United States is $16.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $16.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Earth Science Researcher, and why are they important?

To thrive as a Remote Earth Science Researcher, you need a strong background in geology, environmental science, or a related field, typically supported by an advanced degree (MSc or PhD). Proficiency in remote sensing software, GIS tools, data analysis platforms, and sometimes programming languages like Python or R is essential. Attention to detail, problem-solving abilities, and effective written communication are vital soft skills for interpreting data and collaborating with cross-functional teams. These skills enable accurate scientific analysis, facilitate remote collaboration, and drive impactful research outcomes in the earth sciences.

What are some common challenges faced in remote Earth science research roles, and how can they be managed?

Remote Earth science research roles often involve collaborating with team members and stakeholders across different time zones and regions, which can make communication and coordination challenging. Additionally, researchers may need to rely on digital tools for data collection, analysis, and remote sensing, which requires strong technical skills and adaptability. To manage these challenges, it's important to establish clear communication protocols, regularly check in with your team, and stay updated on new software and remote data collection methods. Flexibility and proactive problem-solving are key to thriving in this dynamic environment.

What is remote earth science research?

Remote earth science research involves studying the Earth's systems—such as its atmosphere, oceans, land, and biosphere—using remote technologies. This typically means collecting and analyzing data from satellites, drones, and other remote sensing devices rather than conducting fieldwork in person. Researchers in this field analyze images, sensor data, and models to understand natural processes, track environmental changes, and inform policy decisions. Remote earth science research is essential for monitoring climate change, natural disasters, land use, and other large-scale phenomena. It allows scientists to observe areas that are difficult or dangerous to access directly.

What is the difference between Remote Earth Science Research vs Remote Geologist?

AspectRemote Earth Science ResearchRemote Geologist
Required CredentialsBachelor's or higher in Earth Science, Geology, or related fields; certifications varyBachelor's or higher in Geology or Earth Science; often includes certifications like PG or PG in Geology
Work EnvironmentPrimarily desk-based research, data analysis, report writing; some fieldwork possibleMostly desk-based analysis, report writing; limited fieldwork, often remote or office-based
Employer & Industry UsageResearch institutions, universities, government agencies, environmental firmsMining companies, environmental consulting firms, government geological surveys

Remote Earth Science Research and Remote Geologist roles share similar educational backgrounds and work environments, focusing on data analysis and reporting. However, Earth Science Researchers often engage in broader research projects, while Geologists may have more fieldwork and industry-specific applications. Both roles are vital in understanding Earth's processes and are commonly sought in remote positions within the industry.

More about Remote Earth Science Research jobs
What cities are hiring for Remote Earth Science Research jobs? Cities with the most Remote Earth Science Research job openings:
What are the most commonly searched types of Earth Science Research jobs? The most popular types of Earth Science Research jobs are:
What states have the most Remote Earth Science Research jobs? States with the most job openings for Remote Earth Science Research jobs include:
What job categories do people searching Remote Earth Science Research jobs look for? The top searched job categories for Remote Earth Science Research jobs are:
Remote Earth Science Research jobs near you
Infographic showing various Remote Earth Science Research job openings in the United States as of May 2026, with employment types broken down into 74% Full Time, 16% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $33,815 per year, or $16.3 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 28 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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