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

24-Mag • New York, NY

5d • Remote

About The Position

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.

Requirements

• 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
• 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
• 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

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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

Benefits

• Independent contractor engagement
• Fully remote
• Approximately 30–40 hours per week
• Working hours must overlap with the Pacific Time (PT) business day
• Compensation: $40–$60/hour

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed