Remote Network Engineer for AI Data Labeling & Pipelines

Visa Hunt; United States; Remote; USD 69,000 - 96,000; Part time

Job summary

Mercor is seeking a Network Engineer for Data for Autonomous Systems annotation on a contract basis. The role focuses on reviewing real-world network data, labeling behaviors, and defining schemas for data pipelines that AI models will train on.

Remote work with 30–40 hours per week. You will interface with the client team to ensure data accuracy and work independently to meet deadlines while contributing to improved AI model performance.

Qualifications

• Must have current role as Level 3 / Tier 3 / Principal Support Engineer.
• Experience with end-customer enterprise networks (switches, APs, firewalls).
• Proficiency in Wi-Fi/wireless, including Cisco WLC, Aruba, or Meraki.
• Skills in packet-level troubleshooting using Wireshark, tcpdump, and SPAN captures.
• Authorization to work in the US or Canada without sponsorship.

Responsibilities

• Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
• Label and classify network behaviors, issues, anomalies, and incident patterns.
• Define schemas and structure for large-scale data pipelines that downstream ML models will train on.
• Interface directly with the client team to ensure data accuracy and relevance.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

Network troubleshooting

Enterprise networks

Wireless networks

Authorization to work in US/Canada

Tools

Wireshark

tcpdump

SPAN captures

Cisco WLC

Aruba

Meraki

Job description

Mercor is seeking a Network Engineer for Data for Autonomous Systems annotation on a contract basis. The role focuses on reviewing real-world network data, labeling behaviors, and defining schemas for data pipelines that AI models will train on.

Remote work with 30–40 hours per week. You will interface with the client team to ensure data accuracy and work independently to meet deadlines while contributing to improved AI model performance.