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Remote Sensing Internship Jobs in Washington (NOW HIRING)

Remote Sensing Internship information

See Washington salary details

$22K

$96.2K

$199.2K

How much do remote sensing internship jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote sensing internship in Washington is $96,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,093.00 and $125,081.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Sensing Intern, you should have foundational knowledge in geography, environmental science, or a related field, along with coursework or experience in remote sensing and GIS technologies. Familiarity with specialized tools such as ERDAS Imagine, ENVI, or QGIS, and basic programming skills in Python or R, are often required. Strong analytical thinking, attention to detail, effective communication, and the ability to work both independently and as part of a team are important soft skills. These qualifications are essential for interpreting complex data, contributing to projects, and ensuring meaningful analysis in real-world environmental or geospatial applications.

What is a remote sensing internship?

A Remote Sensing Internship is a temporary position where students or early-career professionals gain hands-on experience analyzing data from satellites, drones, or other remote sensing technologies. Interns typically work with geographic information systems (GIS), image processing software, and data analysis tools to interpret environmental, agricultural, or urban data. Responsibilities may include data collection, preprocessing, and modeling to support research or decision-making. These internships are often found in industries like environmental science, forestry, agriculture, disaster management, and defense. The goal is to develop technical skills and practical knowledge in remote sensing applications.

What types of projects or tasks are typically assigned to remote sensing interns?

Remote Sensing Interns often support projects involving the acquisition, processing, and interpretation of satellite or aerial imagery for environmental monitoring, land use analysis, or disaster assessment. Daily tasks may include image classification, data validation, creating maps, and contributing to technical reports or presentations. Interns commonly collaborate with GIS specialists, environmental scientists, and senior analysts, gaining hands-on experience with real-world datasets and industry-standard software. This exposure provides valuable practical skills and insights into how remote sensing informs decision-making across various sectors.

What are the most commonly searched types of Remote Sensing jobs in Washington?

The most popular types of Remote Sensing jobs in Washington are:

What cities in Washington are hiring for Remote Sensing Internship jobs?

Cities in Washington with the most Remote Sensing Internship job openings:

Infographic showing various Remote Sensing Internship job openings in Washington as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,191 per year, or $46.2 per hour.

Tango Sierra-Bravo - Electro‑Optical (EO) Imagery Data Scientist

Select Search Associates LLC

Arlington, VA • On-site, Remote

Full-time

Posted 3 days ago

New


Job description

Join a R&D program that is focused on using Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, particularly Computer Vision, applied to Intelligence, Surveillance, and Reconnaissance (ISR) sensors and platforms for object detection, object tracking, object classification, and pattern detection.  The program is involved in developing, testing, fielding, and integrating Computer Vision models for geospatial data. Your job will be to process and condition the geospatial data, and to format it to specific standards so that it can be used for AI solution development. The background that we are looking for is twofold - Data Science experience and deep experience with EO imagery (electro-optical).  You will get to join a highly functioning team to develop cutting edge solutions for complex problems.

Requirements:
  • Strong background in data science WITH experience in at least one of the following:  remote sensing, image processing, or image science
    • At least 4 years of experience with EO imagery…an understanding of collection, phenomenology, image formation process, and exploitation products
  • Background with electromagnetic spectrum (e.g., electro-optical) exploitation to detect occurrence and location of objects
  • Ability to develop, test, and evaluate new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis.
  • Communication skills that allow you to engage with a variety of technical and non-technical audiences on availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.
  • Strong understanding of the principles of remote sensing and imagery processing and advanced exploitation methods
  • TS/SCI with CI Poly (we can pipeline your poly if you don’t already have it, but you must be willing to take the exam)
  • 13 years of relevant experience and a Master’s degree
    • (substitutions are allowed for different types of degrees, and many things can be applied towards experience – e.g., internships, certifications, professional publications, etc. )
What You Will Do:
  • Obtain new data and identify potential latency associated with acquisition, data formats, and security domains
  • Pre-process and standardize data to match existing data standards or transform into a usable state for labeling and model testing purposes
  • Interact with SAR Imagery Scientists to provide coincident EO imagery
  • Identify potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Identify potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL-related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine if there are gaps in the newly obtained GEOINT or sensor data that may need to be supplemented by other sources
Bonus Skills:
  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems
Other Information:
  • Occasional travel may be required outside of the DC area to support events or exercises
  • Local travel may be required to attend meetings at government facilities
  • Surge support may be needed at times to support crisis situations
  • Work is located at CTR facility
  • Work schedule is flexible, but a good amount of team collaboration is required which generally occurs M-F from 0900-1500 EST and team members should do their best to be reachable during those core hours