ZipRecruiter

Log In

2

Remote Machinist Jobs (NOW HIRING)

Naval Air Systems Command

MACHINIST

San Diego, CA · On-site +1

$36.85 - $43.01/hr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... machining processes/operations to include planning, laying out and setting-up of work; 3) Using ...

Army National Guard Units

MACHINIST

Fort Riley, KS · On-site +1

$32.10 - $37.45/hr

Compare machine parts with drawings, technical orders, or specifications for conformance with established tolerances, fits, and surface finish. Make precision measurements using micrometer, vernier ...

Air National Guard Units

$39.58 - $46.15/hr

This National Guard position is for a MACHINIST, Position Description Number D1489000 and is part of the CO 140 MXG, National Guard. The primary purpose of this position is to perform machining ...

Army National Guard Units

MACHINIST

Fort Riley, KS · On-site +1

$33.26 - $38.86/hr

This National Guard position is for a MACHINIST, Position Description Number D1214000 and is part of the KS Maneuver And Training Equipment Site, Kansas Air National Guard, Topeka, KS. Learn more ...

Kodama Systems Inc.

Remote Skidder Operator

Macon, GA · On-site +1

$20 - $30/hr

Remote Skidder Operator Note - this is mostly a remote/ work from home (WFH) position but may ... Machines may be located in Eastern or Central Time Zones. About Kodama: Kodama Systems is a ...

next page

Showing results 1-20

People also search for

All JobsMachinist JobsRemote Machinist Jobs

Remote Machinist information

See salary details

$14

$25

$36

How much do remote machinist jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote machinist in the United States is $25.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $28.61 per hour, depending on experience, location, and employer.

What is a Remote Machinist job?

A Remote Machinist operates CNC or manual machining equipment from a remote location, often using CAD/CAM software, cloud-based monitoring systems, and remote programming tools. Responsibilities may include designing, programming, and troubleshooting machining processes while collaborating with on-site teams. This role is common in industries utilizing automated or remotely managed manufacturing processes, such as aerospace, defense, and prototyping.

What are the key skills and qualifications needed to thrive in the Remote Machinist position, and why are they important?

To thrive as a Remote Machinist, you need strong skills in CNC machine operation, interpreting technical drawings, and precise measurement, usually backed by a relevant apprenticeship or technical certification. Experience with CAD/CAM software, remote machine monitoring systems, and familiarity with programming machine tool paths are often required. Exceptional problem-solving, self-motivation, and effective communication are valuable soft skills in this position. These competencies help ensure high-quality production, efficient workflow, and seamless collaboration with remote teams in a distributed manufacturing environment.

How does a Remote Machinist typically collaborate with on-site teams or supervisors?

Remote Machinists usually work closely with on-site teams and supervisors through digital communication platforms such as email, video calls, and specialized manufacturing management software. They may receive digital work orders, share progress updates, or report quality issues in real time, ensuring projects stay on track. Effective remote machinists proactively clarify specifications and ask questions to minimize errors and reduce downtime. This collaborative approach allows for smooth coordination, faster troubleshooting, and successful completion of production goals even when working from different locations.
More about Remote Machinist jobs
What cities are hiring for Remote Machinist jobs? Cities with the most Remote Machinist job openings:
What are the most commonly searched types of Machinist jobs? The most popular types of Machinist jobs are:
What states have the most Remote Machinist jobs? States with the most job openings for Remote Machinist jobs include:
What job categories do people searching Remote Machinist jobs look for? The top searched job categories for Remote Machinist jobs are:
Remote Machinist jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 15 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.

Apply