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Part Time Remote Network Engineer Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code ...

Tier4 Group

PHP Developer - REMOTE USA

Atlanta, GA · Remote

PHP Developer (Part-Time, Remote) Location: 100% Remote (EST/CST preferred) Schedule: Part-Time (20 hours/week, flexible hours - eventually this will convert to 40 hours per week) Contract Type:

Connection

IT Support Technician (Part-Time, REMOTE)

$38 - $40/hr

Overview Job Title: Part-Time IT Support Technician (Remote) Location: 100% Remote (U.S.) Duration ... Escalate advanced networking, infrastructure, and high-level technical issues to the appropriate ...

Connection

IT Support Technician (Part-Time, REMOTE)

$38 - $40/hr

Overview Job Title: Part-Time IT Support Technician (Remote) Location: 100% Remote (U.S.) Duration ... Escalate advanced networking, infrastructure, and high-level technical issues to the appropriate ...

Servant

Join Our Talent Network

Whether you're an engineer, designer, researcher, marketer, strategist, or simply someone ... Whether you're looking for full-time roles, part-time opportunities, or freelance work, we're ...

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Part Time Remote Network Engineer information

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$31K

$109K

$158K

How much do part time remote network engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time remote network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a part time remote network engineer?

A part time remote network engineer is an IT professional who is responsible for designing, implementing, and maintaining computer networks, while working remotely and on a part-time schedule. Their duties may include monitoring network performance, troubleshooting connectivity issues, configuring hardware and software, and ensuring network security. Working remotely allows them to provide support and manage systems from any location, while the part-time aspect means they typically work fewer than 40 hours a week. This role is ideal for those who need flexible working hours or are balancing other commitments.

What are the key skills and qualifications needed to thrive as a part time remote network engineer?

To excel as a Part Time Remote Network Engineer, you need a solid understanding of networking fundamentals, experience with network configuration, and typically certifications like CCNA or CompTIA Network+. Familiarity with tools such as Cisco IOS, network monitoring systems, and remote access technologies is crucial. Strong problem-solving skills, self-motivation, and clear communication are vital soft skills for success in a remote setting. These abilities ensure reliable network performance, effective troubleshooting, and seamless collaboration with distributed teams.

How do part time remote network engineers typically collaborate with on-site IT teams to resolve urgent network issues?

Part-time remote network engineers often use collaboration tools like video conferencing, chat platforms, and remote desktop applications to communicate closely with on-site IT staff when urgent issues arise. They may participate in scheduled check-ins, but are also expected to be responsive during their agreed working hours to troubleshoot and resolve incidents quickly. Clear documentation, strong communication skills, and familiarity with remote monitoring tools are essential for smooth coordination. This setup allows network engineers to contribute effectively from a distance while ensuring that critical problems receive prompt attention.

What is the difference between Part Time Remote Network Engineer vs Part Time Remote Network Administrator?

AspectPart Time Remote Network EngineerPart Time Remote Network Administrator
CertificationsCCNA, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesign, implement, troubleshoot network systemsMaintain, monitor, support existing networks
Employer UsageIT service providers, tech companiesCorporate, educational, healthcare institutions

While both roles require similar certifications and often work remotely, the Network Engineer focuses on designing and implementing network solutions, whereas the Network Administrator manages and maintains existing network infrastructure. The Engineer role is more project-based, while the Administrator handles ongoing support and troubleshooting.

More about Part Time Remote Network Engineer jobs

What cities are hiring for Part Time Remote Network Engineer jobs?

Cities with the most Part Time Remote Network Engineer job openings:

What are the most commonly searched types of Remote Network Engineer jobs?

The most popular types of Remote Network Engineer jobs are:

What states have the most Part Time Remote Network Engineer jobs?

States with the most job openings for Part Time Remote Network Engineer jobs include:

What job categories do people searching Part Time Remote Network Engineer jobs look for?

The top searched job categories for Part Time Remote Network Engineer jobs are:

Part Time Remote Network Engineer jobs near you
Infographic showing various Part Time Remote Network Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

AI Engineer (US-Based / Part-Time)

Implicit

Remote

Part-time

Re-posted 18 days ago

Job description

Applied AI Engineer (Part-Time, Remote - U.S.)

Innovation is at the heart of what we do.

At Implicit, we're building the leading AI Knowledge Engine for Maintenance and Support. Our secure, no-code platform transforms complex technical documents, manuals, procedures, and operational data into trusted, structured knowledge that powers both human experts and AI agents.

We're looking for a part-time Applied AI Engineer to help build the next generation of enterprise AI. You'll work alongside experienced engineers, product leaders, and AI researchers to develop production-grade AI capabilities that solve real-world problems across defense, manufacturing, customer support, and other knowledge-intensive industries.

What You'll Do
  • Design and build AI applications powered by LLMs, RAG, semantic search, and AI agents.
  • Develop intelligent pipelines for document ingestion, knowledge extraction, and retrieval.
  • Improve answer quality through prompt engineering, evaluation frameworks, and retrieval optimization.
  • Build and optimize production AI services using Python and modern AI frameworks.
  • Work with agentic development tools including Cursor, Codex and AI-assisted coding workflows.
  • Write clean, maintainable, well-tested code with a strong focus on quality and reliability.
  • Collaborate closely with product, engineering, and data science teams to rapidly prototype and ship new capabilities.
  • Evaluate emerging AI models, tools, and techniques to continuously improve the platform.
Required Qualifications
  • 3+ years of experience building AI, machine learning, or NLP applications through industry, open-source, or research.
  • Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, and semantic search.
  • Solid understanding of NLP, machine learning, and modern deep learning techniques.
  • Hands-on experience with PyTorch, TensorFlow, or similar ML frameworks.
  • Strong Python development skills and experience building production software.
  • Experience working with APIs, vector databases, and AI application frameworks.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Preferred Qualifications
  • Experience building AI systems for enterprise knowledge management or technical documentation.
  • Experience with AI agents, tool calling, and agentic workflows.
  • Familiarity with knowledge graphs, OCR, document parsing, or multimodal AI.
  • Experience deploying AI applications using modern MLOps practices.
  • Experience evaluating and benchmarking LLM performance.
What We Offer
  • Competitive compensation.
  • Flexible part-time schedule.
  • Remote work within the United States.
  • Flexible vacation policy.
  • Opportunity to build cutting-edge AI products with a small, experienced, and highly technical team tackling challenging real-world problems.

Apply