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Computer Networking Engineer Jobs in Denver, CO (NOW HIRING)

Computer Engineering

Denver, CO ยท Remote

$35 - $60/hr

Computer Engineering - AI Data Trainer * Location: Remote About the job At Alignerr, we partner ... IoT, networking and distributed systems, hardware security, and systems software and operating ...

As Network Engineer you will: โ€ข Design and plan network communications systems. โ€ข Provide ... network and computer hardware and software interconnection and interfacing, such as routers ...

As Network Engineer you will: โ€ข Design and plan network communications systems. โ€ข Provide ... network and computer hardware and software interconnection and interfacing, such as routers ...

Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or related field. * 7+ years of experience in secure networking, systems engineering, or cybersecurity for DoD/IC ...

Secure Network Engineer

Boulder, CO ยท On-site

$150K/yr

Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or related field. * 7+ years of experience in secure networking, systems engineering, or cybersecurity for DoD/IC ...

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Showing results 1-20

Computer Networking Engineer information

See Denver, CO salary details

$49.9K

$125.1K

$141.5K

How much do computer networking engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer networking engineer in Denver, CO is $125,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior computer networking engineers with extensive experience, specialized skills in network architecture, security, and certifications like CCIE or CISSP can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large corporations. Such roles often involve leadership, complex system design, and 24/7 operational responsibilities.

What does a computer network engineer do?

A computer network engineer designs, implements, manages, and maintains computer networks such as local area networks (LANs), wide area networks (WANs), and intranets. They troubleshoot network issues, optimize performance, and ensure security using tools like routers, switches, and firewalls, often holding certifications like Cisco CCNA or CompTIA Network+.

Are network engineers highly paid?

Network engineers typically earn competitive salaries due to their specialized skills in designing, implementing, and maintaining computer networks. Salaries vary based on experience, certifications, and location, but they are generally above average compared to many other IT roles.

What engineers make $300,000 a year?

Senior computer networking engineers with extensive experience, specialized skills in network architecture, and industry certifications such as CCIE can earn $300,000 or more annually. These roles often involve managing large-scale networks, working in high-demand environments, and may include leadership responsibilities.

What is the difference between Computer Networking Engineer vs Network Administrator?

AspectComputer Networking EngineerNetwork Administrator
CertificationsCCNA, CCNP, CompTIA Network+CCNA, CompTIA Network+
Work EnvironmentDesigning, implementing, and testing network solutionsManaging and maintaining existing network infrastructure
ResponsibilitiesDeveloping network architecture, troubleshooting complex issuesMonitoring network performance, configuring devices, user support

While both roles involve working with networks, Computer Networking Engineers focus on designing and building network systems, whereas Network Administrators manage and maintain those networks on a daily basis. The roles often overlap, but the engineer's role is more project-based and technical, while the administrator handles ongoing operations.

Computer Engineering

Alignerr

Denver, CO โ€ข Remote

$35 - $60/hr

Other

Posted 7 days ago


Job description

Computer Engineering - AI Data Trainer
  • Location: Remote
About the job
At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
You'll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems-documenting every failure mode so we can harden model reasoning.
Organization
: Alignerr
Position
: Computer Engineering - AI Data Trainer
Type
: Hourly Contract
Compensation
: $35-$60 /hour
Location
: Remote
Commitment
: 10-40 hours/week
What You'll Do:
  • Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
  • Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
  • Refine Reasoning: Identify logical fallacies in AI reasoning-such as race conditions, memory leaks, or improper timing constraints-and provide structured feedback to improve the model's "thinking" process.
Requirements:
  • Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
  • Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
  • No AI experience required
Preferred
:
  • Prior experience with data annotation, data quality, or evaluation systems
  • Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us:
  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they're trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 15-20 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

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