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. **About this talent network** This is an ongoing talent network rather than a single open vacancy. Applications are reviewed on a rolling basis, and interview rounds run periodically as the client opens new headcount. Completing the technical practicum now means your profile is ready to be put forward as soon as the next round opens — there's no need to reapply later. **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 - Do packet-level troubleshooting yourself — Wireshark, tcpdump, SPAN captures - Are curious about how raw infra data becomes machine learning input This is a **maintainer** role — likely not the right fit if your current work is mainly network design/architecture, cloud/SRE, security/SOC, or IT helpdesk. 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, with your hours overlapping the Pacific (PT) business day. - This is an individual 1099 contract paid to a personal account — no corp-to-corp or agency billing. - You must be authorized to work in the US or Canada without sponsorship.
Remote Network Engineer - Talent Network (Data for Autonomous Systems) - AI Trainer ($50-$70 per hour) • Columbia, Missouri, US
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