ZipRecruiter

Log In

2

Remote Language Manager Jobs in Virginia (NOW HIRING)

Citizant

Proposal Manager (Remote)

Chantilly, VA · Remote

Exceptional English-language writing and editing skills. * Strong presentation and communication ... Association of Proposal Management Professionals (APMP) certification preferred. Additional ...

Winrock International

Senior Manager, Technical

Arlington, VA · Remote

$130.60K - $180K/yr

Remote, Arlington, VA or Little Rock, AR Department: Environmental Resources Trust (ERT) - ART ... Language : Fluency in spoken and written English is required. Fluency in one or more additional ...

A.C. Coy

Policy Specialist (Remote)

Falls Church, VA · Remote

Collaborate with security engineers, compliance officers, and business managers to ensure policies ... Ability to distill complex technical concepts into clear, concise, and actionable language.

BlueForce Inc

GAS - IDIQ Program Manager

Carrollton, VA · On-site +1

This position is remote and may require domestic (DC area) and international travel to Sub-Saharan ... Provision of Certification in English language through industry recognized provider (e.g., Test of ...

BLUEFORCE INC

GAS - IDIQ Program Manager

Carrollton, VA · On-site +1

This position is remote and may require domestic (DC area) and international travel to Sub-Saharan ... Provision of Certification in English language through industry recognized provider (e.g., Test of ...

next page

Showing results 1-20

People also search for

All JobsRemote Language Manager JobsRemote Language Manager Jobs in Virginia

Remote Language Manager information

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

To thrive as a Remote Language Manager, you need expertise in linguistics, translation/localization processes, and fluency in multiple languages, along with a relevant degree or equivalent experience. Familiarity with CAT tools, translation management systems, and project management software is typically required. Exceptional communication, cultural sensitivity, and organizational skills set top candidates apart in managing remote, multilingual teams. These capabilities ensure accurate, culturally appropriate content delivery and effective collaboration across global teams.

What are the main challenges Remote Language Managers face when coordinating multilingual teams across different time zones?

Remote Language Managers often coordinate with translators, editors, and localization specialists who are spread across the globe. A common challenge is scheduling meetings and ensuring smooth communication despite time zone differences. Successful managers use clear project management tools, set well-defined deadlines, and foster an environment where team members can work asynchronously while still feeling connected. Overcoming these hurdles strengthens team efficiency and ensures high-quality language deliverables.

What does a Remote Language Manager do?

A Remote Language Manager oversees language-related projects and teams from a remote location, ensuring that translations, localizations, and linguistic quality meet organizational standards. They coordinate with translators, editors, and clients to manage workflows, set deadlines, and resolve linguistic challenges. This role often involves using specialized software, maintaining glossaries, and implementing best practices in translation and localization. Remote Language Managers also evaluate project progress and communicate updates to stakeholders. Their work is vital for companies that operate in multiple languages or global markets.

What is the difference between Remote Language Manager vs Remote Translator?

AspectRemote Language ManagerRemote Translator
CredentialsLanguage degrees, project management skillsLanguage proficiency, translation certifications
Work EnvironmentTeam coordination, project oversightIndividual translation tasks, client communication
Industry UsageLocalization companies, multinational corporationsPublishing, legal, medical, technical fields
Search & Comparison IntentManaging language projects, overseeing translation teamsTranslating documents, interpreting content

The main difference is that a Remote Language Manager oversees language projects and manages translation teams, requiring project management skills and industry knowledge. In contrast, a Remote Translator focuses on translating content directly, often with specialized language skills. Both roles are essential in multilingual industries but serve different functions within language services.

What are popular job titles related to Remote Language Manager jobs in Virginia? For Remote Language Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Language Manager jobs in Virginia look for? The top searched job categories for Remote Language Manager jobs in Virginia are:
What cities in Virginia are hiring for Remote Language Manager jobs? Cities in Virginia with the most Remote Language Manager job openings:
Remote Language Manager jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 14 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