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Remote L3 Support Engineer Jobs in Houston, TX (NOW HIRING)

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI Software Engineer - Remote

Houston, TX ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

CUDA Developer - Remote

Houston, TX ยท Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze ...

Showing results 21-40

Remote L3 Support Engineer information

See Houston, TX salary details

$15

$38

$64

How much do remote l3 support engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote l3 support engineer in Houston, TX is $38.08, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $44.52 per hour, depending on experience, location, and employer.

What is a remote L3 support engineer?

Remote L3 Support Engineers, also known as Level 3 support engineers, are specialized IT professionals who handle the most complex technical issues that cannot be resolved by lower-tier support teams (L1 and L2). Working remotely, they diagnose and solve advanced software, hardware, or network problems, often collaborating with developers or product teams. Their expertise is crucial for resolving critical incidents, providing root cause analysis, and implementing long-term solutions. They may also create documentation and offer guidance to other support levels to prevent recurring issues.

What are the key skills and qualifications needed to thrive as a remote L3 support engineer?

To thrive as a Remote L3 Support Engineer, you need advanced troubleshooting skills, in-depth knowledge of operating systems and networks, and typically a degree in computer science or related field. Expertise with ticketing systems, remote desktop tools, scripting languages, and certifications such as CompTIA Network+ or Microsoft Certified Solutions Expert (MCSE) are highly valuable. Strong analytical thinking, communication, and customer service skills help in resolving complex issues and collaborating with both clients and internal teams. These abilities ensure timely resolution of critical problems, maintain system reliability, and enhance client satisfaction in a remote support environment.

What are the main challenges faced by remote L3 support engineers, and how can candidates prepare for them?

Remote L3 Support Engineers often face complex technical issues that require in-depth troubleshooting and collaboration across multiple teams. One common challenge is diagnosing problems without physical access to hardware, which demands strong analytical skills and effective use of remote diagnostic tools. Additionally, balancing multiple high-priority incidents while maintaining clear communication with clients and internal stakeholders is essential. Candidates can prepare by gaining hands-on experience with remote support technologies, practicing clear documentation, and developing strong problem-solving abilities.

What is the difference between Remote L3 Support Engineer vs Remote Network Support Engineer?

AspectRemote L3 Support EngineerRemote Network Support Engineer
Required CredentialsTypically certifications like CompTIA Network+, Cisco CCNA, or equivalentSimilar certifications such as Cisco CCNA, CompTIA Network+
Work EnvironmentProvides advanced technical support, troubleshooting complex issues, often in IT or tech companiesFocuses on network infrastructure, troubleshooting network problems remotely
Employer & Industry UsageUsed in IT service providers, tech companies, and enterprise support teamsCommon in telecom, internet service providers, and large corporate networks

The Remote L3 Support Engineer and Remote Network Support Engineer roles share similar certifications and work environments, often overlapping in technical skills. However, L3 engineers handle broader, more complex issues across various systems, while Network Support Engineers specialize specifically in network infrastructure and connectivity problems.

What job categories do people searching Remote L3 Support Engineer jobs in Houston, TX look for?

The top searched job categories for Remote L3 Support Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote L3 Support Engineer jobs?

Cities near Houston, TX with the most Remote L3 Support Engineer job openings:

Infographic showing various Remote L3 Support Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $79,196 per year, or $38.1 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Houston, TX โ€ข Remote

$100 - $200/hr

Part-time

Posted 27 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.