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

Work set-up: 
Full Remote
Contract: 
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., Educational background in networking or related fields is preferred..

Key responsibilities:

  • Review real-world network data including logs, configs, telemetry, and event streams.
  • Label and classify behaviors, issues, and anomalies in network data.
  • Assist in defining schemas and structuring data for large-scale 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 handson 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 realworld data from deployed networks: logs, configs, telemetry, event streams
  • Label and classify key behaviors, issues, and anomalies
  • Help define schemas and structure for largescale 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 timeseries 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

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Curiosity

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