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Part Time Remote Sensing Jobs (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

$176K/yr

A skilled geospatial and remote sensing analyst can turn that data into mission critical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Pennsylvania State University

$15 - $19/hr

... part-time Teaching/Grading Assistant positions supporting online geospatial programs during the ... spatial data science, remote sensing, and geospatial programming. Responsibilities include ...

Penn State University

Grading Assistant

University Park, PA · On-site +1

$15 - $18.75/hr

... part-time Teaching/Grading Assistant positions supporting online geospatial programs during the ... spatial data science, remote sensing, and geospatial programming. Responsibilities include ...

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Part Time Remote Sensing information

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How much do part time remote sensing jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for part time remote sensing in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Sensing vs Part Time GIS Technician?

AspectPart Time Remote SensingPart Time GIS Technician
Required CredentialsDegree in Remote Sensing, Geography, or related field; GIS certificationsDegree in GIS, Geography, or related field; GIS certifications
Work EnvironmentField data collection, satellite image analysis, office workOffice-based, map creation, spatial data management
Employer & Industry UsageEnvironmental agencies, research institutions, satellite companiesUrban planning, utilities, government agencies

Part Time Remote Sensing and Part Time GIS Technician roles share similar credentials and industry usage, often involving spatial data analysis. However, remote sensing focuses on satellite and aerial imagery analysis, while GIS technicians primarily work with geographic information systems for mapping and data management. Both roles are essential in geospatial industries but differ in their specific tasks and focus areas.

What are the key skills and qualifications needed to thrive as a Part Time Remote Sensing Specialist, and why are they important?

To thrive as a Part Time Remote Sensing Specialist, you need a solid background in geospatial analysis, image interpretation, and remote sensing principles, usually supported by a degree in geography, environmental science, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), satellite data processing tools, and, in some cases, certifications like GISP are typical requirements. Strong analytical thinking, attention to detail, and effective communication set standout professionals apart in this field. These skills are crucial for accurately interpreting remote data, delivering actionable insights, and enabling informed decision-making in various industries.

What are some common challenges faced in a part-time remote sensing role, and how can they be addressed?

Working part-time in remote sensing often requires balancing multiple projects with limited hours, which can make time management and prioritization challenging. Additionally, remote sensing professionals may work with large datasets and complex software tools, so staying organized and keeping technical skills up to date is essential. Communication with team members who may be in different locations or time zones is also a key aspect, so using collaborative platforms and maintaining regular check-ins can help ensure smooth workflow. Adapting to evolving technologies and data sources is another common challenge, so investing time in ongoing learning is beneficial.

What is a part-time remote sensing job?

A part-time remote sensing job involves analyzing data collected from satellites, drones, or aircraft to gather information about the Earth's surface, atmosphere, or oceans, but on a part-time schedule. Professionals in this field use specialized software to interpret images and data for applications such as environmental monitoring, agriculture, urban planning, or disaster response. These roles can often be performed remotely, allowing for flexible hours and work-from-home options. Part-time remote sensing positions are ideal for students, freelancers, or those seeking supplemental income while contributing to scientific and technical projects.
More about Part Time Remote Sensing jobs
What are the most commonly searched types of Remote Sensing jobs? The most popular types of Remote Sensing jobs are:
What states have the most Part Time Remote Sensing jobs? States with the most job openings for Part Time Remote Sensing jobs include:
What job categories do people searching Part Time Remote Sensing jobs look for? The top searched job categories for Part Time Remote Sensing jobs are:
Part Time Remote Sensing jobs near you
Infographic showing various Part Time Remote Sensing job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.
Remote Sensing Software Engineer

Remote Sensing Software Engineer

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 3 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants

Job description


Remote Work:
No
Job Number:
R0242684
Location:
Dayton,OH,US
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Remote Sensing Software Engineer
The Opportunity
At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user centric tools that accelerate mission outcomes.
What You'll Do:
  • Develop software tools for radiometric modeling and satellite observation geometry
  • Implement imaging and signal processing workflows including motion compensation, multi-frame alignment, and super-resolution
  • Build ML enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets
  • Design scientific Python pipelines, such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing
  • Support orbital modeling tasks, such as SGP4, TLE ingestion, or basic pose estimation
  • Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering
  • Maintain reproducible environments using GitLab, containers, and experiment-tracking tools
  • Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities

Join us. The world can't wait.
You Have:
  • 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation
  • Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods
  • Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray
  • Experience with basic orbital mechanics
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Experience with large sensor datasets such as HDF5 or cloud object storage
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with administration of continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation
  • Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI augmented development workflows or agentic tools
  • Experience with GitLab based CI/CD workflows
  • Master's degree in an engineering field, or Physics, Mathematics, Computer Science, or a related STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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