ZipRecruiter

Log In

2

Remote Geolocation Jobs (NOW HIRING)

Files

Back End Engineer (Remote)

Austin, TX · Remote

$110K - $250K/yr

Remote (USA or Canada-based) Type: Full-time Compensation: $110,000 - $250,000 (subject to ... Zero‐Trust File Sharing - design ephemeral links with device posture and geolocation constraints.

Amentum

Senior Radio Frequency Engineer

Dahlgren, VA · On-site +1

Classic Reach and Aggregate Remote Capability (ARC). * Finder Family of Systems. * Digital Receiver ... Multiplatform Geolocation (MPG) with JICD 4.2. Compensation Details: US: $140,000 to $155,000 The ...

next page

Showing results 1-20

People also search for

All JobsRemote Geolocation Jobs

Remote Geolocation information

See salary details

$72K

$120.8K

$158K

How much do remote geolocation jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote geolocation in the United States is $120,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $141,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Geolocation Specialist, you need strong analytical skills, proficiency in GIS (Geographic Information Systems), and a relevant degree in geography, geoinformatics, or a related field. Familiarity with tools such as ArcGIS, QGIS, GPS technology, and remote sensing software is typically required, and certifications like GISP can be advantageous. Attention to detail, problem-solving abilities, and effective communication help specialists interpret data accurately and collaborate with cross-functional teams. These skills ensure precise location data analysis, support decision-making, and enhance the reliability of geolocation solutions.

What are some common challenges faced by professionals working in remote geolocation roles?

Professionals in remote geolocation roles often encounter challenges related to data accuracy and connectivity, especially when working with real-time location data from diverse sources. Ensuring the precision of geospatial data while collaborating across distributed teams can require strong communication and coordination skills. Additionally, adapting to rapidly changing technologies and maintaining up-to-date knowledge of mapping tools and geolocation standards is essential for continued success in the field.

What is the difference between Remote Geolocation vs Remote Network Technician?

AspectRemote GeolocationRemote Network Technician
Required CredentialsGeolocation certifications, GPS technology knowledgeNetworking certifications (e.g., CompTIA Network+), IT skills
Work EnvironmentLocation-based data analysis, GPS toolsRemote troubleshooting, network setup, and maintenance
Employer & Industry UsageLogistics, mapping, location servicesIT, telecommunications, corporate networks
Search & Comparison IntentUnderstanding geolocation services remotelyRemote network troubleshooting roles

Remote Geolocation focuses on analyzing location data and GPS technology, often within logistics or mapping industries. Remote Network Technicians handle network setup, troubleshooting, and maintenance remotely, primarily in IT and telecommunications. While both roles can be performed remotely, they require different skill sets and certifications. The comparison helps job seekers identify the right role based on their expertise and industry focus.

What is remote geolocation?

Remote geolocation refers to the process of determining the physical location of a device, person, or object without direct contact, usually through the use of GPS, Wi-Fi, IP addresses, or cellular networks. Professionals in this field analyze data from various remote sensing technologies to pinpoint or track locations globally. Remote geolocation is widely used in applications such as navigation, asset tracking, emergency response, and location-based services. It plays a critical role in industries like logistics, security, and telecommunications.
What cities are hiring for Remote Geolocation jobs? Cities with the most Remote Geolocation job openings:
What are the most commonly searched types of Geolocation jobs? The most popular types of Geolocation jobs are:
What states have the most Remote Geolocation jobs? States with the most job openings for Remote Geolocation jobs include:
What job categories do people searching Remote Geolocation jobs look for? The top searched job categories for Remote Geolocation jobs are:
Remote Geolocation jobs near you
Infographic showing various Remote Geolocation job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 2% As Needed, 1% Full Time, 92% Part Time, and 2% Temporary. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $120,809 per year, or $58.1 per hour.
Calibration Software Engineer, Geometry

Calibration Software Engineer, Geometry

Muon Space

San Jose, CA • Remote

$143K - $214K/yr

Other

Posted 24 days ago

Job description

About the role

Muon Space is building a family of infrared imaging missions designed for global wildfire detection and monitoring, weather and cloud characterization, space-based environmental monitoring, and more. Muon's IR Data Products team builds the analytics system that processes the data from our spacecraft's custom multispectral imaging instruments into data products and analytics for diverse end-user stakeholders from these missions. We are seeking a Calibration Software Engineer, Geometry, to join the team.

In this role, the candidate will focus initially on geometric calibration and geospatial data processing of the unique multi-spectral infrared data from the FireSat camera. The candidate will work within our team to design and implement camera geometry models, geolocation calibration, and advanced geospatial processing algorithms - including bundle adjustment, orthorectification, and atmospheric corrections - that are foundational to the quality and accuracy of FireSat data products. The candidate will be responsible for completing the on-orbit geometric calibration of new FireSat satellites during the commissioning phase, and will be expected to improve on the current approach by building novel, scalable geometric calibration and processing systems that will grow to support dozens of satellites. Additional responsibilities will include writing production-ready code, geospatial data engineering, implementing and operating production processing systems, as well as engaging with derived product development and external customer needs for our multiple customer bases.

Responsibilities
  • Complete on-orbit geometric calibration of new FireSat satellites during the commissioning phase.
  • Design and implement geometric calibration of multispectral infrared imagery from Muon's infrared missions, including camera geometry modeling and geolocation calibration.
  • Develop and implement geolocation calibration algorithms to validate and correct on-orbit pointing knowledge.
  • Continuously improve geospatial processing algorithms including bundle adjustment, orthorectification, and atmospheric corrections.
  • Research and develop metrics for and improvements to geometric accuracy, image registration, and spatial data quality.
  • Implement and operate production pipelines for geometric calibration and geospatial data processing.
  • Write production-ready code.
  • Work cross-functionally within the team and across Muon to design, build, and maintain operational services from Muon's core remote sensing missions.
  • Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications).
Qualifications
  • PhD with 5+ years of experience in a relevant domain (remote sensing, photogrammetry, geodesy, astronomy, physics, or related field); or MS with 8+ years industry experience; or BS with 10+ years industry experience.
  • Hands-on experience with geometric calibration of imaging instruments.
  • Deep knowledge of the science of remote sensing and photogrammetric processing including bundle adjustment and orthorectification.
  • Strong mathematical skills, particularly in geometry, linear algebra, and statistics.
  • Exceptional skills in Python-based development and analysis.
  • Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support).
  • Ability to thrive in a fast-paced startup environment.
Preferred Qualifications
  • Experience calibrating on-orbit instruments.
  • Experience with mid-wave or long-wave infrared instruments and data processing.
  • Experience developing or applying atmospheric correction algorithms for infrared or multispectral imagery.
  • Familiarity with common geospatial data tooling and formats (e.g. XArray, COG, GeoTIFF, NetCDF, gdal).
  • Familiarity with cloud-native systems (AWS preferred).
  • Experience working with large datasets.
  • Experience with image quality assessment (e.g. MTF, spatial resolution characterization).
Salary

The salary range for this role is $143,000 - $214,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. 

Apply