Network Engineer - Data for Autonomous Systems annotation

About this role

Are you a Level 3 / Tier 3 network support engineer interested in data science and autonomous infrastructure? Our client is building vertically integrated networking systems and using the data they generate to power the next generation of AI-driven infrastructure. They’re looking for engineers experienced in final escalations, packet analysis, troubleshooting, and RCA workflows to help label, annotate, and structure networking data from real production systems. This is a hands-on role that blends your L3 troubleshooting and incident-response experience 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 network behaviors, issues, anomalies, and incident patterns - Help define schemas and structure for large-scale data pipelines that downstream ML models will train on **You’re a strong fit if you:** - Work today as a Level 3 / Tier 3 / Principal Support Engineer keeping existing enterprise infrastructure online and stable — on-call rotation, RCAs, final escalations, troubleshooting outages — Must Have - Have hands-on experience with end-customer enterprise networks (switches, APs, firewalls in retail, healthcare, financial, manufacturing, university, hospitality, etc.) — Must Have - Bring hands-on Wi-Fi/wireless proficiency — enterprise WLAN controllers (Cisco WLC, Aruba, or Meraki), 802.1X/RADIUS, and wireless troubleshooting — Must Have - 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.

Eligible applicant countries

This role accepts applicants from:

• CAN
• USA

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Data Analysis