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Remote Linux Trainer Jobs in Virginia (NOW HIRING)

Senior Director, Secure DevOps Requisition

VA ยท On-site +1

$130K - $167K/yr

This is a remote position. Essential Duties and Responsibilities: - Oversee the development and ... Linux and Windows operating systems, network administration, and networking protocols/functions ...

Lead System Administrator

VA ยท On-site +1

... Remote Country United States Working time Full-time Description & Requirements The Lead System ... We invest in our workforce through training, education, and career development, empowering ...

Senior Systems Administrator

VA ยท On-site +1

$86K - $116K/yr

We invest in our workforce through training, education, and career development, empowering ... Linux environments. - Experience remediating vulnerabilities in accordance with federal security ...

Senior Systems Administrator

VA ยท On-site +1

$86K - $116K/yr

We invest in our workforce through training, education, and career development, empowering ... Linux environments. - Experience remediating vulnerabilities in accordance with federal security ...

Data Scientist

Herndon, VA ยท On-site +1

... 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 ...

Senior Back-End Developer

VA ยท 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 ยท 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 ยท 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 ...

Software Engineer, Senior

Herndon, VA ยท 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 ...

Software Engineer, Senior

Herndon, VA ยท 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 ...

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Remote Linux Trainer information

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

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.

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.

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 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 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:
AI/ML Engineer, Senior - WFH1659

AI/ML Engineer, Senior - WFH1659

Global InfoTek, Inc.

Reston, VA โ€ข On-site, Remote

$150 - $200/hr

Full-time

Posted 11 days ago


Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: 1099/Consultant ($150 - $200 per hour)
Location: Remote
Years of Experience: 5-7 years of relevant experience
Education Level: BS or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Senior AI/ML Engineer to support an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Senior AI/ML Engineer designs, builds, and validates machine learning models for RF emitter identification, conducts hands-on exploratory data analysis on NDF (Network Description File) sensor datasets, and implements ML data pipelines that operate on constrained tactical edge hardware. Working under the direction of the Principal AI/ML Engineer and program technical lead, the candidate collaborates closely with research scientists and software engineers to translate analytical findings into reproducible, well-documented ML experiments and pipeline components. The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data, and the ability to work in air-gapped Linux environments without cloud infrastructure or GPU acceleration.
Responsibilities:
  • Design, build, and validate machine learning models for RF emitter identification - including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results
  • Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks - writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings
  • Implement and maintain ML data pipelines - ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency
  • Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention - writing code to characterize error sources, validate assumptions, and reproduce findings
  • Produce clear technical documentation of experiments, model configurations, and results - maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing

Career level with a complete understanding and wide application of machine learning principles and data science techniques. Working under general direction from the Principal AI/ML Engineer, executes independently on assigned modeling and analysis tasks, contributes to pipeline development, and produces reproducible, well-documented results. Bachelor's or Master's (or equivalent) with 5-7 years of hands-on applied experience.
Required Skills:
  • 5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
  • Demonstrated proficiency in Python for ML and data science work - PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling
  • Hands-on experience designing, training, and evaluating deep learning models - particularly metric learning, Siamese networks, or other similarity-learning architectures - on real-world, noisy, imbalanced datasets
  • Practical experience handling real-world data quality problems - missing values, label noise, class imbalance, systematic bias, and sensor artifacts - and the ability to diagnose and address them without discarding valid data
  • Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration - optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware

Desired Skills:
  • Familiarity with RF signal characteristics, passive receiver phenomenology, and sensor data interpretation - including awareness of processing artifacts, attribution ambiguities, and measurement limits common in signals intelligence datasets
  • Hands-on experience applying machine learning - particularly metric learning, deep learning networks, or similarity-learning architectures - to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Exposure to TDMA network protocols or military datalink systems, and interest in learning the signal processing challenges of dense, contested electromagnetic environments
  • Familiarity with direction-finding, time-difference-of-arrival (TDOA), or related passive geolocation concepts - understanding of their mathematical foundations and common failure modes is more important than operational experience
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing - error ellipses, bearing estimation uncertainty, feature reliability under noise - with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization

Relevant Certifications:
  • Certifications in machine learning, data science, or related technical fields (e.g., TensorFlow Developer Certificate; PyTorch Certified Associate; AWS Certified Machine Learning - Specialty; Microsoft Certified: Azure AI Engineer Associate; Certified Analytics Professional (CAP); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.