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

Work set-up: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Experience as a network engineer, preferably with enterprise networks such as switches, access points, and firewalls., Ability to interpret logs, events, and time-series metrics., Interest in data science and understanding of data pipelines in AI systems., Strong analytical skills and curiosity about transforming infrastructure data into machine learning inputs..

Key responsibilities:

  • Review real-world network data including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Assist in defining schemas and structuring large-scale data pipelines.
  • Contribute to building autonomous networking systems powered by AI.

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Meter Scaleup https://www.meter.com/
51 - 200 Employees
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Job description

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.

 

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Curiosity
  • Problem Solving

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