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Network Ai Jobs (NOW HIRING)

Review and evaluate AI-generated outputs related to network architecture design , telecom operations workflows , and communications technology analysis . * Create realistic scenarios based on ...

With the world's strongest participant network, AI-powered analysis, expert services, and seamless integrations, we help companies eliminate guesswork, align stakeholders, and bring customer needs ...

About the Role As a Senior Network Engineer at Together, you are responsible for designing ... Understanding of AI training workloads and the demands they exert on networks a plus About Together ...

Senior Network Engineer

San Francisco, CA · On-site

$190K - $250K/yr

About the Role As a Senior Network Engineer at Together, you are responsible for designing ... Understanding of AI training workloads and the demands they exert on networks a plus About Together ...

OR · On-site

Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU enabled AI applications * Crafting and evaluating DevOps ...

Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end ... What You'll Do * Network Security Design & Implementation : Architect robust network ...

We are seeking a passionate Principal AI Network Architect to join the AI systems architecture team. The role includes network architecture evaluation, design and optimization for next-gen AI systems.

They are seeking a Networking AI Technical Lead to provide technical leadership on high-impact projects, influence and coach a distributed team of engineers, and manage project priorities and ...

Shield AI is a venture-backed deep-tech company focused on protecting service members and civilians with intelligent systems. They are seeking a highly experienced Senior Staff Network Architect to ...

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Network Ai information

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$22K

$106.6K

$162.5K

How much do network ai jobs pay per year?

As of Jun 10, 2026, the average yearly pay for network ai in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Network Ai position, and why are they important?

To thrive as a Network AI professional, you typically need a solid background in computer networking, machine learning, and data analysis, often supported by a degree in computer science, information technology, or a related field. Familiarity with networking protocols (such as TCP/IP), AI frameworks (like TensorFlow or PyTorch), and relevant certifications (such as Cisco’s CCNA or CCNP) are highly valuable. Strong analytical thinking, collaboration, and effective problem-solving skills make candidates stand out in this role. These abilities are crucial for implementing intelligent network solutions, optimizing performance, and ensuring seamless integration of AI technologies in complex network environments.

What is a Network AI job?

A Network AI job involves developing and optimizing artificial intelligence models to manage, monitor, and enhance computer networks. Professionals in this role work on tasks like network automation, predictive analytics, and anomaly detection using machine learning. They collaborate with network engineers and data scientists to improve performance, security, and efficiency. This field requires expertise in AI, networking protocols, and data analysis tools.

What are the typical projects or responsibilities of a Network AI professional?

Network AI professionals are commonly tasked with developing and deploying AI-driven solutions to monitor, secure, and optimize computer networks. This includes leveraging machine learning to detect anomalies or threats, automating network management tasks, and analyzing large datasets to improve network performance. They often work closely with network engineers, security teams, and data scientists to ensure that AI solutions are both effective and secure. The role offers continuous learning opportunities, as professionals must stay updated on the latest advancements in both networking and artificial intelligence.

More about Network Ai jobs
What cities are hiring for Network Ai jobs? Cities with the most Network Ai job openings:
What are the most commonly searched types of Network Ai jobs? The most popular types of Network Ai jobs are:
What states have the most Network Ai jobs? States with the most job openings for Network Ai jobs include:
Infographic showing various Network Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $106,570 per year, or $51.2 per hour.

Telecom Network Expert - AI

Mercor

San Francisco, CA • Remote

$1K - $1K/wk

Full-time

Posted 5 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: Telecommunications Expert
Type: Contract
Compensation: $1,150–$1,450 per completed task
Location: Remote

Role Responsibilities

  • Review and evaluate AI-generated outputs related to network architecture design, telecom operations workflows, and communications technology analysis.
  • Create realistic scenarios based on telecommunications workflows such as network provisioning, fault management, and spectrum allocation decisions.
  • Annotate, label, and validate data across telecom use cases, ensuring accuracy in network topology, QoS parameter recommendations, and regulatory compliance.
  • Provide structured feedback on AI accuracy in areas like telecom standards and protocols (e.g., 3GPP, IEEE 802.11, SIP).
  • Collaborate asynchronously with research teams to refine evaluation frameworks for telecommunications AI.

Qualifications

Must-Have

  • 3+ years of professional experience in telecommunications at a carrier, MVNO, ISP, equipment vendor, or enterprise communications organization.
  • Background in areas such as wireless/cellular networks, wireline/broadband infrastructure, or network operations.
  • Strong analytical thinking and ability to translate network and operations workflows into structured evaluation tasks.
  • Clear written communication and attention to detail.

Preferred

  • Professional certifications such as CCNA/CCNP, CWNA, CompTIA Network+, or TIA credentials.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality.
  • Performance Bonus: Top performers receive a weekly bonus incentive.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model.

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.