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Network Engineer - Data for Autonomous Systems Annotation

Mercor

Computer Science & Engineering Contractor · Full-time
United States, Canada $50 – $70/hr April 22, 2026

Job description

About the Role

We are seeking Network Engineers to contribute to AI training initiatives by annotating and structuring real-world network data used in autonomous systems.

This role sits at the intersection of networking and data science, where your expertise in infrastructure will directly support the development of intelligent, AI-driven systems.

Key Responsibilities

  • Review real-world network data including logs, configurations, telemetry, and event streams
  • Label and classify network behaviors, anomalies, and issues
  • Help define data schemas and structures for large-scale AI data pipelines
  • Collaborate directly with client teams on data annotation workflows

Requirements

  • Professional experience as a Network Engineer (enterprise networking preferred)
  • Familiarity with switches, access points, firewalls, and network infrastructure
  • Ability to interpret logs, events, and time-series metrics
  • Strong analytical thinking and attention to detail
  • Interest in data pipelines and AI systems

Work Details

  • Work Type: Fully remote
  • Engagement: Contractor
  • Schedule: 30–40 hours per week

Location Requirement

  • Must be authorized to work in:
  • United States
  • Canada

About the Opportunity

Your work will directly contribute to training AI systems that power autonomous networking infrastructure. This is a unique opportunity to apply networking expertise to cutting-edge AI systems and data pipelines.

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