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Remote Make Ready Engineer Jobs (NOW HIRING)

Pearce Services

Lead joint-use engineering (pole attachments, loading, and make-ready); coordinate with IOU/co-op/municipal utilities. * Interface with agencies and utilities to resolve conflicts, accelerate ...

NTI Connect LLC

OSP Engineer 2

Monroe, LA · Remote

$85K - $115K/yr

Engineering Reports to: Sr. OSP Engineering Job Summary: The OSP Engineer 2 functions in an ... Aerial and underground make ready surveys; outside plant route selection and verification. 

Zunch Staffing

Remote Network Engineer

$80K - $100K/yr

Are you ready to push your skills to the limit in an innovative, dynamic, and fun environment? If ... truly make your mark. Your Role: You'll wear many hats - analyst, designer, configurator, and ...

Zunch Staffing

Remote Network Engineer

$80K - $100K/yr

Are you ready to push your skills to the limit in an innovative, dynamic, and fun environment? If ... truly make your mark. Your Role: You'll wear many hats - analyst, designer, configurator, and ...

Orbital

Distribution Engineer - Pennsylvania

Work is primarily remote/office based, but fieldwork may be needed throughout the engineering ... Knowledge of industry utility or joint-use software (SPANS, NJUNS, IkeGPS) for make-ready ...

TCOM, L.P.

Staff Solutions Engineer

Sioux Falls, SD · On-site +1

You have experience in Commercial Imagery/Remote Sensing . If you've sold or integrated SAR, EO/IR ... make. Ready to take our solutions to 60,000 feet? Let's talk. TCOM offers a variety of benefits ...

TCOM, L.P.

Staff Solutions Engineer

Arlington, VA · On-site +1

You have experience in Commercial Imagery/Remote Sensing . If you've sold or integrated SAR, EO/IR ... make. Ready to take our solutions to 60,000 feet? Let's talk. TCOM offers a variety of benefits ...

TCOM, L.P.

Staff Solutions Engineer

Sioux Falls, SD · On-site +1

You have experience in Commercial Imagery/Remote Sensing . If you've sold or integrated SAR, EO/IR ... make. Ready to take our solutions to 60,000 feet? Let's talk. TCOM offers a variety of benefits ...

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Remote Make Ready Engineer information

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$39K

$101.8K

$137.5K

How much do remote make ready engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote make ready engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Make Ready Engineer, you need strong knowledge of utility infrastructure, NESC standards, and telecommunications construction, typically supported by a degree in engineering or related field. Proficiency with GIS mapping software, pole loading analysis tools, and project management systems is commonly required. Attention to detail, problem-solving, and effective communication are essential soft skills for collaborating with field teams and stakeholders. These skills and qualifications ensure accurate assessments, regulatory compliance, and the successful execution of telecom infrastructure projects.

What are some common challenges faced by Remote Make Ready Engineers, and how can they be addressed?

Remote Make Ready Engineers often encounter challenges such as coordinating with multiple stakeholders (utilities, permitting agencies, field crews) across different locations and time zones. Additionally, working remotely can make it harder to verify on-site conditions and ensure accurate documentation. These challenges can be addressed by leveraging advanced project management and communication tools, maintaining clear documentation, and scheduling regular virtual meetings with all parties. Proactively building strong relationships with local contacts also helps streamline the make-ready process and minimize delays.

What is a Remote Make Ready Engineer?

A Remote Make Ready Engineer is a professional who assesses and prepares infrastructure, such as utility poles or telecommunications equipment, for new installations or upgrades—often working off-site using digital tools and remote access. They analyze existing conditions, develop make-ready engineering plans, and coordinate with relevant teams to ensure compliance with safety and regulatory standards. This role is essential in industries like telecommunications and power distribution, where efficient and accurate pre-construction assessments are needed to support network expansions. Remote Make Ready Engineers typically use mapping software, databases, and remote communication platforms to perform their duties. Their work helps streamline project timelines and minimize on-site disruptions.

What is the difference between Remote Make Ready Engineer vs Remote Construction Coordinator?

AspectRemote Make Ready EngineerRemote Construction Coordinator
CredentialsEngineering degree, technical certificationsProject management certifications, construction experience
Work EnvironmentRemote, technical review, site assessmentsRemote, project oversight, communication with teams
Industry UsageTelecom, broadband, network deploymentConstruction, infrastructure projects

The Remote Make Ready Engineer primarily focuses on technical assessments and preparing sites for new installations, often requiring engineering credentials. The Remote Construction Coordinator manages project timelines and coordination, emphasizing project management skills. Both roles are essential in telecom and construction industries, with overlapping remote work environments and industry applications.

More about Remote Make Ready Engineer jobs
What cities are hiring for Remote Make Ready Engineer jobs? Cities with the most Remote Make Ready Engineer job openings:
What are the most commonly searched types of Make Ready Engineer jobs? The most popular types of Make Ready Engineer jobs are:
What states have the most Remote Make Ready Engineer jobs? States with the most job openings for Remote Make Ready Engineer jobs include:
What job categories do people searching Remote Make Ready Engineer jobs look for? The top searched job categories for Remote Make Ready Engineer jobs are:
Remote Make Ready Engineer jobs near you
Infographic showing various Remote Make Ready Engineer job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 16 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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