Meter Logo

Meter

Network Engineer (with Data Focus) — Labeling & Structuring Data for Autonomous Systems

Posted 22 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA
50-100
Mid level
In-Office or Remote
Hiring Remotely in San Francisco, CA
50-100
Mid level
Network Engineers needed to label and structure data for autonomous systems by reviewing real-world data and defining schemas for data pipelines.
The summary above was generated by AI
Contract Role: Network Engineer (with Data Focus) — Labeling & Structuring Data for Autonomous Systems

Type: 3 to 6 month contract
Location: Onsite Bay Area
Compensation: $50-$100 per hour (based on experience)

Are you a network engineer who’s curious about data science and wants to work at the intersection of infrastructure and intelligence?

At Meter, we’re building vertically integrated networking systems and now we’re using the data they generate to power the next generation of autonomous infrastructure. We’re looking for network engineers to help us label, annotate, and structure the data flowing through our systems.

This is a hands-on role that blends your knowledge of networks with a growing understanding of how data pipelines are built and used in AI systems.

In this role, you’ll:

  • Review real-world data from deployed networks: logs, configs, telemetry, event streams
  • Label and classify key behaviors, issues, and anomalies
  • Help define schemas and structure for large-scale data pipelines

You’re a strong fit if you:

  • Must have experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)
  • Comfortable interpreting logs, events, and time-series metrics
  • Curious about how raw infra data becomes machine learning input
  • Want to contribute to the future of autonomous networking systems

Your work will directly feed into the pipelines that power Meter’s AI models, and help shape how intelligent systems reason about networks in the real world.


Top Skills

AI
Data Pipelines
Machine Learning
Networking

Similar Jobs

22 Days Ago
In-Office or Remote
San Francisco, CA, USA
50-100
Mid level
50-100
Mid level
Hardware • Software
The role involves reviewing data from networks, labeling behaviors and anomalies, and structuring data pipelines for autonomous systems, blending network engineering and data science.
Top Skills: Ai SystemsApsData PipelinesFirewallsNetworking SystemsSwitches
2 Hours Ago
Remote
USA
194K-228K Annually
Senior level
194K-228K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead and manage the technology compliance program, perform risk assessments, collaborate with teams, and drive technology control requirements for new products.
Top Skills: CobitDoraIso 27001ItilNist Csf
2 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
122K-164K
Mid level
122K-164K
Mid level
Cloud • Healthtech • Payments • Professional Services • Software • Analytics • Automation
Seeking a senior individual with expertise in Identity and Access Management and Cloud Security to enhance global security programs and optimize processes.
Top Skills: Atlassian SuiteBeyondtrustConfluenceCyberarkEntra IdJIRAMicrosoft Active DirectoryExcelOktaPostmanPowershellSailpointSQLVenafiVisual Studio Code

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account