Network Engineer - Data for Autonomous Systems annotation

Are you a network engineer who’s curious about data science and wants to work at the intersection of infrastructure and intelligence? Our client is building vertically integrated networking systems and is now using the data they generate to power the next generation of autonomous infrastructure. They’re looking for network engineers to help them 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 client’s AI models, and help shape how intelligent systems reason about networks in the real world. Here are more details about the role:

• You will interface directly with the client team.
• You are expected to work 30-40 hours/week.