Network Engineer for Autonomous Systems Data

SaidGig; Little Canada (MN); A distancia; USD 69.000 - 96.000; A tiempo parcial

Descripción de la vacante

SaidGig is seeking a remote, hourly independent contractor to analyze production network data and transform it into structured inputs for AI-driven infrastructure. You will review logs, label network behavior, and help define schemas for data pipelines used to train machine learning models.

The role requires 5+ years in hands-on network roles and experience with enterprise networks across various environments.

Formación

• At least 5 years of hands-on experience in network engineering, network operations, or network support.
• Currently work, or most recently worked, in a hands-on network engineering, network operations, or network support role.
• Experience operating enterprise production networks, including switches, access points, and firewalls, in end-customer environments such as retail, healthcare, financial services, manufacturing, universities, or hospitality.
• Ability to apply troubleshooting and incident-response experience while developing an understanding of how infrastructure data pipelines support AI systems.

Responsabilidades

• Review logs, configurations, telemetry, and event streams from deployed networks.
• Label and classify network behavior, issues, anomalies, and incident patterns.
• Help define schemas and data structures for large-scale pipelines used to train downstream machine learning models.
• Work directly with the client team.

Conocimientos

5+ years network engineering

Hands-on network operations

Enterprise production networks

Troubleshooting & incident response

Herramientas

Wireshark

tcpdump

SPAN captures

Descripción del empleo

Role Overview

Apply hands-on enterprise networking expertise to help transform production network data into structured inputs for AI-driven infrastructure. This role focuses on analyzing real deployed-network data and using troubleshooting, incident-response, packet analysis, and root-cause analysis experience to improve how intelligent systems understand networks.

Key Responsibilities

• Review logs, configurations, telemetry, and event streams from deployed networks.
• Label and classify network behavior, issues, anomalies, and incident patterns.
• Help define schemas and data structures for large-scale pipelines used to train downstream machine learning models.
• Work directly with the client team.

Qualifications

• At least 5 years of hands-on experience in network engineering, network operations, or network support.
• Currently work, or most recently worked, in a hands-on network engineering, network operations, or network support role.
• Experience operating enterprise production networks, including switches, access points, and firewalls, in end-customer environments such as retail, healthcare, financial services, manufacturing, universities, or hospitality.
• Ability to apply troubleshooting and incident-response experience while developing an understanding of how infrastructure data pipelines support AI systems.

Preferred Experience

• Serving as an escalation point for network incidents, including Tier 3 support, final escalations, on-call work, root-cause analysis, and outage troubleshooting.
• Enterprise Wi-Fi experience with Cisco WLC/9800, Aruba, or Meraki WLAN controllers, 802.1X/RADIUS, and wireless troubleshooting.
• Independent packet-level analysis using tools such as Wireshark, tcpdump, and SPAN captures.
• Experience across varied network environments, vendors, and customer types through an MSP, VAR, systems integrator, or a diverse enterprise environment.
• Experience supporting networks across multiple sites or a large campus.
• Curiosity about converting raw infrastructure data into machine learning inputs.

Work Terms

• Remote, hourly independent contractor engagement.
• Expected commitment is 30 to 40 hours per week, with working hours overlapping the Pacific Time business day.
• Individual 1099 contract paid to a personal account.
• Corporate-to-corporate and agency billing are not available.
• This is a hands-on network operations and maintenance role and is not intended for candidates whose current work is primarily network design or architecture, cloud/SRE, security/SOC, or IT helpdesk.

Compensation

$50 to $70 per hour.

Eligibility

• Must be authorized to work in the United States or Canada without sponsorship.
• F-1 STEM OPT cannot be accommodated because Form I-983 cannot be signed.
• Standard F-1 OPT is eligible.

Talent Network and Application Process

This is an ongoing talent network, not a single immediate opening. Applications are assessed on a rolling basis, and interviews take place periodically as new positions become available. Completing the technical practicum prepares your profile for consideration in future interview rounds without requiring another application.