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

24-MAG
US - New York - New York
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  • Job Type: Full time
  • 2 days ago

Job Description

**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. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.




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