Meter (meter.com) Logo

Meter (meter.com)

Network Engineer - Data for Autonomous Systems

Reposted 24 Days Ago
Remote or Hybrid
2 Locations
50-100 Hourly
Mid level
Remote or Hybrid
2 Locations
50-100 Hourly
Mid level
The Network Engineer will label, annotate, and structure data from networks, supporting the development of AI-driven infrastructure solutions.
The summary above was generated by AI

Contract role: 3 to 6 month contract to hire
Location: Onsite Bay Area
Compensation: $50-80 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:

  • Have experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)

  • Are comfortable interpreting logs, events, and time-series metrics

  • Are 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.

HQ

Meter (meter.com) San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

22 Days Ago
Remote
United States
50-70 Hourly
Senior level
50-70 Hourly
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
Perform L3 network troubleshooting and RCA on production enterprise networks, review telemetry/logs/configs, label and annotate network behaviors for ML training, and help define schemas and data pipelines to support AI-driven infrastructure.
Top Skills: FirewallsIntelligent InfrastructureNetwork AutomationNetwork LogsNetwork Monitoring PlatformsNetwork SwitchesNetwork TelemetryObservability PlatformsOperational Analytics PlatformsRouting And Switching InfrastructureWireless Access Points
56 Minutes Ago
Remote
California, USA
131K-177K Annually
Senior level
131K-177K Annually
Senior level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Lead quality engineering for illumination products: perform internal and AS9100/customer audits, drive corrective/preventive actions, analyze nonconformance trends, develop quality metrics and certification plans, and ensure design and production readiness and compliance.
Top Skills: As9100Faa Part 145Non-Conformance (Ncr) ProcessesQmsRoot Cause Analysis (Rcca)
56 Minutes Ago
In-Office or Remote
30-42 Hourly
Mid level
30-42 Hourly
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Operate and maintain Insitu unmanned aircraft systems, plan and execute missions, collect/analyze payload and video data, perform pre/post-flight checks and maintenance, support customers in field deployments, and complete inventory and mission reporting. Deployable to remote/austere locations up to 70% travel.
Top Skills: Basic NetworkingIntegratorRq21ScaneagleUas

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account