2

Remote Geoscience Jobs in Oklahoma (NOW HIRING)

$13 - $17.50/hr

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.

Remote Geoscience information

How do remote geoscientists typically collaborate with field teams and other departments?

Remote geoscientists often rely on digital collaboration tools, such as GIS software, video conferencing, and cloud-based data platforms, to work closely with field teams and colleagues in related departments. Communication is key, as they interpret data collected on-site and provide real-time analysis or recommendations. Regular virtual meetings and shared project dashboards help ensure everyone stays aligned on research objectives and project timelines. This structure allows remote geoscientists to contribute effectively, even while working off-site, and fosters cross-disciplinary teamwork.

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

To thrive as a Remote Geoscientist, you need a solid background in geology, geophysics, or environmental science, usually supported by a relevant degree. Familiarity with GIS software, remote sensing tools, and data analysis platforms is essential for interpreting geospatial data. Strong analytical thinking, effective communication, and problem-solving abilities help you collaborate with multidisciplinary teams and present findings clearly. These skills ensure accurate data interpretation, efficient project execution, and actionable insights for environmental or resource management projects.

What is remote geoscience?

Remote geoscience refers to the study and analysis of Earth's physical structure and processes using remote technologies, such as satellite imagery, aerial surveys, and remote sensing data, rather than traditional fieldwork. Professionals in this field can analyze geological features, monitor environmental changes, and assess natural resources from a distance, often working from home or off-site locations. This approach is increasingly important for tasks like mapping, mineral exploration, and disaster response, making geoscience work more accessible and efficient.

What is the difference between Remote Geoscience vs Remote Geotechnical Engineer?

AspectRemote GeoscienceRemote Geotechnical Engineer
Required CredentialsBachelor's or higher in Geoscience, Geology, or related fields; certifications varyBachelor's or higher in Civil or Geotechnical Engineering; often requires PE license
Work EnvironmentField and office-based, often involving data analysis and reportingPrimarily office-based, focusing on soil and foundation analysis
Industry UsageMining, oil & gas, environmental consultingConstruction, infrastructure, and foundation projects
Common Search & ComparisonYesNo

Remote Geoscience involves analyzing Earth's materials and processes, often in environmental or resource sectors, while Remote Geotechnical Engineer focuses on soil and foundation stability for construction projects. Both roles require related credentials and are used in industries that value remote work, but they serve different technical functions.

What are the most commonly searched types of Geoscience jobs in Oklahoma? The most popular types of Geoscience jobs in Oklahoma are:
What are popular job titles related to Remote Geoscience jobs in Oklahoma? For Remote Geoscience jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Geoscience jobs in Oklahoma look for? The top searched job categories for Remote Geoscience jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Geoscience jobs? Cities in Oklahoma with the most Remote Geoscience job openings:
Infographic showing various Remote Geoscience job openings in Oklahoma as of July 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Re-posted 7 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