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Network Engineer - Talent Network (Data for Autonomous Systems)
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About the Role
Are you a hands-on enterprise network engineer — Level 3 / Tier 3 support, network operations, or the person your team escalates to — 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 troubleshooting, escalations, packet analysis and RCA workflows to help label, annotate, and structure networking data from real production systems. This is a hands-on role that blends your troubleshooting and incident-response experience with a growing understanding of how data pipelines are built and used in AI systems. About this talent network
What You'll Do
- 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
- Hands-on experience operating enterprise production networks — switches, access points and firewalls — in end-customer environments such as retail, healthcare, financial, manufacturing, university or hospitality
- At least 5 years of experience in network engineering, network operations or network support roles
- Currently, or most recently, working in a hands-on network engineering, network operations or network support role
- Experience as an escalation point for network incidents — Tier 3, final escalations, on-call rotation, RCAs, troubleshooting outages
- Hands-on enterprise Wi-Fi — WLAN controllers (Cisco WLC/9800, Aruba, or Meraki), 802.1X / RADIUS, and wireless troubleshooting
You're a Good Fit If You
Role Highlights
Pay & Payout
Independent contractor engagement. Apply via the link below - Mercor handles onboarding and pays weekly via Stripe or Wise.
Common Questions
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