Remote | Senior Network Support Engineer (AI Data Annotation) — $40–$60/hour

We are sharing a specialised consulting opportunity for experienced Level 3 / Tier 3 network support engineers with deep expertise in enterprise networking, wireless infrastructure, packet-level troubleshooting, incident response, and root-cause analysis. This role supports the development of AI-driven autonomous networking systems using data from real production environments. Selected engineers will review network logs, configurations, telemetry, and event streams, classify network behaviours and incidents, and help structure high-quality datasets used to train advanced machine learning systems. Key Responsibilities Network Data Review & Annotation Review production networking data including logs, configurations, telemetry, and event streams Label and classify network behaviours, incidents, anomalies, and recurring failure patterns Identify meaningful relationships between symptoms, network events, and root causes Apply operational networking judgement to distinguish expected behaviour from genuine faults Produce accurate structured annotations suitable for downstream AI and machine learning workflows L3 / Tier 3 Network Troubleshooting Apply senior escalation experience to complex enterprise networking issues Analyse incidents involving outages, degraded performance, connectivity failures, and configuration problems Reconstruct troubleshooting workflows from available network evidence Identify likely root causes and appropriate diagnostic steps Apply judgement developed through real-world final-escalation and on-call responsibilities Packet Analysis & Diagnostics Perform packet-level reasoning using technologies and workflows associated with Wireshark, tcpdump, and SPAN captures Interpret protocol behaviour and packet traces to diagnose network problems Distinguish application, transport, routing, switching, and wireless-layer issues Identify anomalous traffic patterns and protocol-level failure indicators Translate packet-analysis findings into clear structured data and technical explanations Enterprise Wireless Networking Analyse enterprise Wi-Fi environments involving access points, controllers, authentication, and client connectivity Apply hands-on experience with platforms such as Cisco WLC, Aruba, or Meraki Evaluate 802.1X and RADIUS authentication workflows Diagnose roaming, association, interference, coverage, and wireless-performance issues Assess wireless incidents using realistic enterprise troubleshooting practices Enterprise Network Operations Work with networks involving switches, access points, firewalls, and related infrastructure Apply experience supporting customer-facing enterprise environments such as retail, healthcare, financial services, manufacturing, universities, or hospitality Evaluate incident-response and RCA workflows used to maintain production stability Identify gaps or inconsistencies in operational records and troubleshooting sequences Distinguish maintenance and support workflows from architecture or greenfield network-design activities AI Data Pipeline Support Help define schemas and structures for large-scale networking datasets Translate raw infrastructure data into organised inputs suitable for machine learning systems Identify networking concepts and operational signals that should be represented within training data Collaborate with technical teams developing autonomous infrastructure capabilities Contribute practical networking expertise to how AI systems learn to reason about production networks Ideal Profile Current or recent experience as a Level 3 / Tier 3 Network Support Engineer, Principal Support Engineer, Senior Network Engineer , or comparable escalation-focused role Strong experience maintaining existing enterprise network infrastructure in production Hands-on responsibility for final escalations, incident response, troubleshooting, RCAs, and on-call support Direct experience supporting end-customer enterprise networks involving switches, wireless access points, and firewalls Strong enterprise Wi-Fi expertise, including WLAN controllers and wireless troubleshooting Hands-on knowledge of Cisco WLC, Aruba, Meraki , or comparable enterprise wireless platforms Strong understanding of 802.1X, RADIUS , and enterprise authentication workflows Practical packet-analysis experience using Wireshark, tcpdump, SPAN , or similar tools Ability to interpret logs, configurations, telemetry, and event data from production systems Interest in how infrastructure data is transformed into machine learning training inputs Strong written English and ability to document technical reasoning clearly This opportunity is best suited to operational network maintainers rather than professionals focused primarily on network architecture, cloud/SRE, SOC/security, or general IT helpdesk work Engagement Details Independent contractor engagement Fully remote Expected commitment of approximately 30–40 hours per week Working hours must overlap with the Pacific Time (PT) business day Compensation: $40–$60/hour Candidates must be authorised to work in the United States or Canada without sponsorship Individual contractor engagement only; corp-to-corp and agency billing arrangements are not supported Contributors will interact directly with the assigned technical team Projects may be extended, shortened, or concluded based on project needs and performance Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party H1-B and STEM OPT support is unavailable for this engagement About the Platform This opportunity is available through 24-MAG LLC. 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