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Entry Level Remote Sensing Scientist Jobs (NOW HIRING)

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

Research / Scientific The postdoctoral researcher will work at the Hydrologic Innovation and Remote Sensing and the Earth Observation Innovation Lab of the Geoscience Department, Virginia Tech. The ...

Bachelor's degree in Agricultural Engineering, Agronomy, Remote Sensing, Geospatial Science, or related field. Four years of experience in agricultural remote sensing and UAV flight operations. Or, a ...

... using satellite remote sensing, generative AI models, and conformal prediction. The research ... scientific and sponsor-facing dissemination; collaborate with project team members and external ...

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Entry Level Remote Sensing Scientist information

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How much do entry level remote sensing scientist jobs pay per year?

As of Jun 22, 2026, the average yearly pay for entry level remote sensing scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Entry Level Remote Sensing Scientist jobs? Cities with the most Entry Level Remote Sensing Scientist job openings:
What are the most commonly searched types of Remote Sensing Scientist jobs? The most popular types of Remote Sensing Scientist jobs are:

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Posted 16 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