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Remote Linux Trainer Jobs in Virginia (NOW HIRING)

... to model training, evaluation, and delivery. Our delivery teams follow SAFe Agile practices ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

Senior Back-End Developer

VA · On-site +1

$120K - $157K/yr

... City Remote Country United States Working time Full-time Description & Requirements Maximus is ... AWS Infrastructure, Kubernetes, and RedHat Linux. - 10 years of experience with Relational ...

Senior Back-End Developer

VA · On-site +1

$120K - $157K/yr

... City Remote Country United States Working time Full-time Description & Requirements Maximus is ... AWS Infrastructure, Kubernetes, and RedHat Linux. - 10 years of experience with Relational ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

Requirements Prior experience or advanced training in Security Research ideally focused on mobile ... Advanced Linux/Unix Proficiency: Comfortable with CLI and system administration (equivalent to Red ...

... remote administration, and system lifecycle processes. Evaluate, deploy, integrate, and operate ... Experience securing Windows and Linux servers, endpoints, databases, containers, Kubernetes, and ...

Showing results 21-40

Remote Linux Trainer information

What does a remote Linux trainer do?

A Remote Linux Trainer is responsible for teaching individuals or groups how to use and administer the Linux operating system from a remote location, usually via online platforms. They develop and deliver instructional materials, lead virtual labs, and provide support to learners with varying levels of experience. Their goal is to help students acquire practical Linux skills for personal or professional use, often preparing them for certifications or workplace requirements.

What are the key skills and qualifications needed to thrive as a remote Linux trainer?

To thrive as a Remote Linux Trainer, you need deep expertise in Linux operating systems, strong instructional abilities, and relevant certifications such as CompTIA Linux+ or Red Hat Certified Engineer (RHCE). Familiarity with virtual training platforms, remote collaboration tools, and lab simulation software is typically required. Excellent communication, patience, and the ability to adapt teaching methods to various learning styles are vital soft skills. These competencies ensure effective remote instruction, learner engagement, and successful knowledge transfer in a virtual environment.

How does a remote Linux trainer typically structure interactive learning and support for students in a virtual environment?

As a Remote Linux Trainer, you will often use a blend of live online sessions, pre-recorded tutorials, and hands-on lab exercises to engage students. Interactive elements like real-time Q&A, virtual breakout rooms, and collaborative troubleshooting are common to ensure learners stay involved and can practice their skills. Trainers also provide ongoing support through forums, chat, or scheduled virtual office hours, making it crucial to be proactive and responsive to student needs. This structure requires trainers to be comfortable with various e-learning platforms and to adapt their teaching style for remote delivery.

What is the difference between Remote Linux Trainer vs Linux Instructor?

AspectRemote Linux TrainerLinux Instructor
CertificationsLinux Professional Institute (LPIC), CompTIA Linux+LPIC, CompTIA Linux+, RHCSA
Work EnvironmentOnline/remote training sessions, corporate or individual clientsOnline or in-person classrooms, educational institutions
Employer & IndustryTraining companies, tech firms, online education platformsUniversities, colleges, training centers
Search & Comparison IntentYesYes

The main difference between a Remote Linux Trainer and a Linux Instructor lies in their typical work settings and target audiences. Remote Linux Trainers often focus on online, flexible training for corporate clients or individual learners, while Linux Instructors may work in traditional classroom environments within educational institutions. Both roles require similar certifications and technical expertise, but their work environments and delivery methods differ.

What are popular job titles related to Remote Linux Trainer jobs in Virginia?

For Remote Linux Trainer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Linux Trainer jobs in Virginia look for?

The top searched job categories for Remote Linux Trainer jobs in Virginia are:

What cities in Virginia are hiring for Remote Linux Trainer jobs?

Cities in Virginia with the most Remote Linux Trainer job openings:

Data Scientist

NT Concepts

Herndon, VA • On-site, Remote

Full-time

Re-posted 2 days ago


Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and prediction capabilities focused on object detection robustness. Working within a cross-functional team and reporting to a technical lead, you will operate across the machine learning development lifecycle, from data curation and synthetic data generation to model training, evaluation, and delivery.
Our delivery teams follow SAFe Agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first," and leverage modern tech stacks. This position requires a mid-to-senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.

Clearance: Active TS Clearance with ability to obtain TS/SCI. US Citizenship is required.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

Responsibilities

  • Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and synthetic data, for use by machine learning algorithms
  • Design and maintain data conversion and ETL pipelines to prepare customer data for model training
  • Generate and analyze synthetic data to augment computer vision models where real-world data is scarce
  • Train, evaluate, and optimize deep neural network models on overhead imagery, including hyperparameter tuning and performance analysis
  • Perform exploratory data analysis, feature engineering, and preprocessing to improve model performance
  • Develop and visualize explainable AI metrics and model performance indicators
  • Incorporate research and development outputs into the operational code base
  • Communicate analytic findings to both technical and non-technical stakeholders
  • Contribute to solutioning sessions and technical sections of project proposals


Required Qualifications

  • 5+ years of experience in data science, machine learning, or a related field
  • Hands-on experience with data curation techniques for overhead imagery (optical or SAR) and computer vision model development
  • Experience building and maintaining ETL or data processing pipelines
  • Proficiency in Python and familiarity with machine learning and deep learning libraries such as PyTorch
  • Experience with Git-based version control systems
  • Proficiency working in the Linux operating system
  • Strong analytical and problem-solving skills
  • Ability to work in a fast-paced, collaborative, Agile environment
  • Eligibility to work in classified environments and hold required security clearances


Preferred Qualifications

  • Experience with synthetic data generation and analysis for computer vision applications
  • Experience with cloud-based or distributed computing platforms
  • Experience deploying models into production and supporting ongoing operations and maintenance
  • Experience communicating technical results to non-technical audiences or contributing to customer-facing deliverables
  • Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security missions
  • Experience contributing to technical proposals

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