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Remote Linux Trainer Jobs in Everett, WA (NOW HIRING)

VAST Data

Technical Account Manager - USA

Seattle, WA · On-site +1

... training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST ... We're a growing global team and a fully remote company. * Highly organized. We track everything in ...

Ziply Fiber

Senior Systems Engineer

Kirkland, WA · Remote

$99K - $151K/yr

This is a remote position. Position Title: Senior Systems Engineer Base Salary: $99,200 to $151,300 ... You will design and maintain Hypervisor Clusters, Kubernetes Clusters, Linux and Windows virtual ...

Ziply Fiber

Senior Database Administrator

Kirkland, WA · Remote

$118K - $168K/yr

This is a remote position. Position Title: Senior Database Administrator Base Salary: $118,000 to ... training, career growth and education reimbursement programs. Ziply Fiber is a local internet ...

All JobsLinux Trainer JobsRemote Linux Trainer JobsRemote Linux Trainer Jobs in Everett, WA

Remote Linux Trainer information

See Everett, WA salary details

$13

$28

$42

How much do remote linux trainer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for remote linux trainer in Everett, WA is $28.93, according to ZipRecruiter salary data. Most workers in this role earn between $23.89 and $32.64 per hour, depending on experience, location, and employer.

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 are popular job titles related to Remote Linux Trainer jobs in Everett, WA? For Remote Linux Trainer jobs in Everett, WA, the most frequently searched job titles are:
What job categories do people searching Remote Linux Trainer jobs in Everett, WA look for? The top searched job categories for Remote Linux Trainer jobs in Everett, WA are:
Remote Linux Trainer jobs near you

ML Research Engineer - PhD - AI Trainer

Mercor

Seattle, WA • Remote

$75 - $90/hr

Full-time

Re-posted 12 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Human Baseliner for Open-Ended ML Research Tasks
Type: Contract
Compensation: $75–$90/hour
Location: Remote
Commitment: 20+ hours/week

Role Responsibilities

  • Attempt open-ended machine learning research tasks under a fixed time and compute budget.
  • Work independently in a sandboxed Linux environment with internet access.
  • Use preferred tools, including IDEs and AI coding assistants like Cursor, Claude Code, and ChatGPT.
  • Record full working sessions via screen recording.
  • Complete pre-task and post-task questionnaires.
  • Submit final work product, screen recording, and completed questionnaires for evaluation.

Qualifications

Must-Have

  • 3+ years of machine learning experience. Time in a PhD program counts.
  • Attended a top-100 university or worked at FAANG or a comparable company.
  • Experience with PyTorch, JAX, or TensorFlow.
  • Deep expertise in at least one focus area: pretraining, PPO, reward shaping, fine-tuning, LoRA, RLHF, architecture design, contrastive training, generative modeling, multilingual experience, or data pipelines.

Required Domain Expertise

  • Practical experience in Pretraining, Reinforcement learning, Post-training, Dataset curation, or Model architecture.

Logistics

  • One baseline attempt per contractor per task.
  • Each task may only be attempted once.
  • All work is confidential and covered by NDA.
  • Compute and environment are provided; no personal GPU required.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor