Network Engineer for AI-Driven Data Pipelines

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

Job summary

Mercor seeks a hands-on enterprise network engineer (Level 3/Tier 3) for a 1099 part-time contract focused on data-driven infrastructure and AI-powered networks. You will troubleshoot and analyze packets, helping label and structure real production-network data for ML pipelines.

This role interfaces with client teams across the US and Canada, requiring practical incident response and RCA workflows. This hands-on maintainer role blends troubleshooting with data-pipeline understanding, enabling

Qualifications

• Must have hands-on experience operating enterprise production networks in end-customer environments
• At least 5 years of experience in network engineering, network operations or network support roles
• Currently or most recently in a hands-on network engineering/operations/support role

Responsibilities

• Review real-world data from deployed networks: logs, configs, telemetry, 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

Skills

Hands-on network engineering

Incident escalation

Network operations

Troubleshooting

Tools

Wireshark

tcpdump

SPAN captures

Job description

Mercor seeks a hands-on enterprise network engineer (Level 3/Tier 3) for a 1099 part-time contract focused on data-driven infrastructure and AI-powered networks. You will troubleshoot and analyze packets, helping label and structure real production-network data for ML pipelines.

This role interfaces with client teams across the US and Canada, requiring practical incident response and RCA workflows. This hands-on maintainer role blends troubleshooting with data-pipeline understanding, enabling