Senior Network Support Engineer – AI Data Annotation

This is a fully remote position, open to applicants in United States, +2 more states.

📋 Description

• Analyze production networking data, including logs, configurations, telemetry, and event streams.

• Categorize and label network behaviors, incidents, anomalies, and recurring failure patterns.

• Determine connections between symptoms, network events, and root causes.

• Generate structured annotations for AI and machine learning processes.

• Resolve complex enterprise networking issues and reconstruct troubleshooting workflows.

• Conduct packet-level analysis using tools such as Wireshark, tcpdump, SPAN captures, and others.

• Diagnose challenges related to enterprise Wi-Fi, authentication, roaming, interference, coverage, and wireless performance.

• Assess incident-response and root-cause-analysis workflows.

• Identify gaps or inconsistencies in operational records and troubleshooting procedures.

• Assist in defining schemas and structures for networking datasets.

• Convert infrastructure data into inputs suitable for machine learning.

• Collaborate with technical teams to develop autonomous infrastructure capabilities.

⛳️ Requirements

• Current or recent experience in a Level 3 / Tier 3 Network Support Engineer, Principal Support Engineer, Senior Network Engineer, or a similar escalation-focused position.

• Extensive experience in maintaining current enterprise network infrastructure in a production environment.

• Direct responsibility for final escalations, incident response, troubleshooting, root cause analyses, and on-call support.

• Experience supporting end-customer enterprise networks that include switches, wireless access points, and firewalls.

• In-depth expertise in enterprise Wi-Fi, including WLAN controllers and wireless troubleshooting.

• Practical knowledge of Cisco WLC, Aruba, Meraki, or similar enterprise wireless platforms.

• Strong understanding of 802.1X, RADIUS, and enterprise authentication procedures.

• Hands-on experience with packet analysis using Wireshark, tcpdump, SPAN, or similar tools.

• Ability to analyze logs, configurations, telemetry, and event data from production systems.

• Interest in converting infrastructure data into training inputs for machine learning.

• Excellent written English skills and the ability to document technical reasoning clearly.

• Candidates must be authorized to work in the United States or Canada without sponsorship.

• Engagement as an individual contractor only; corp-to-corp and agency billing arrangements are not supported.

• H1-B and STEM OPT support are not available.

🏝️ Benefits

• Fully remote work environment.

• Independent contractor engagement.

• Approximately 30–40 hours of work per week.

• Project durations may be extended, shortened, or concluded based on project requirements and performance.