Network Engineer - Data for Autonomous Systems
Role Overview
This is a mid-level contract-to-hire role for a Network Engineer focused on data annotation and pipeline structuring for autonomous systems. Day-to-day, you will review network data like logs and telemetry, label anomalies, and help define schemas for large-scale data pipelines, working closely with AI and infrastructure teams. Your contributions will directly impact the development of AI models that power autonomous networking systems at Meter.
Perks & Benefits
The role is remote, though initially onsite in the Bay Area, with flexible compensation of $50-100 per hour based on experience. It offers a unique opportunity to work at the intersection of networking and data science, contributing to cutting-edge AI projects, with potential for career growth into data engineering or AI roles. The culture emphasizes hands-on learning and innovation in autonomous infrastructure.
Full Job Description
Contract role: 3 to 6 month contract to hire
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:
Have experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.) - Must Have
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.
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