Remote Network Engineer – AI Data Annotation (Contract)

mercor; United States; Remote; USD 69,000 - 96,000; Full time

Job summary

Mercor is seeking a Network Engineer for data annotation in autonomous systems. This remote contract role involves labeling real-world network data to train AI models, with a commitment of 30–40 hours per week and compensation of $50–$70 per hour.

You will review logs, configs, telemetry, and events from enterprise networks, collaborating with client teams to ensure data accuracy and relevance, while working independently to meet deadlines.

Qualifications

• Experience as a Level 3 / Tier 3 / Principal Support Engineer with on-call rotation, RCAs, and final escalations.
• Hands-on experience with end-customer enterprise networks, including switches, APs, and firewalls.
• Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS , and wireless troubleshooting.
• Ability to perform packet-level troubleshooting with 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.
• Help define schemas and structure for large-scale data pipelines that downstream ML models will train on.
• Collaborate with client teams to ensure data accuracy and relevance.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

Enterprise networks experience

Wi-Fi troubleshooting

On-call rotation / RCAs

WLAN technologies

Packet-level troubleshooting

Tools

Wireshark

tcpdump

SPAN captures

Job description

Mercor is seeking a Network Engineer for data annotation in autonomous systems. This remote contract role involves labeling real-world network data to train AI models, with a commitment of 30–40 hours per week and compensation of $50–$70 per hour.

You will review logs, configs, telemetry, and events from enterprise networks, collaborating with client teams to ensure data accuracy and relevance, while working independently to meet deadlines.