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MercorVerified Job Source

Network Engineer - Data Annotation

The role involves reviewing and labeling real-world network data, including logs and telemetry, to improve AI model performance. The engineer will also help define data schemas and interface with client teams to ensure data quality.

  • Remote
  • Montreal, Quebec, Canada
  • Posted May 8, 2026
  • Apply by Aug 27, 2026
  • 1 position

Job summary

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. Label and classify key behaviors, issues, and anomalies in network data. Help define schemas and structure for large-scale data pipelines. Interface directly with the client team to ensure data quality and relevance. Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications Must-Have Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.). Comfort with interpreting logs, events, and time-series metrics. Curiosity about how raw infrastructure data becomes machine learning input. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,

What you’ll do

The role involves reviewing and labeling real-world network data, including logs and telemetry, to improve AI model performance. The engineer will also help define data schemas and interface with client teams to ensure data quality.

Requirements

Candidates must have professional experience as a network engineer with enterprise hardware like switches and firewalls. Proficiency in interpreting logs, events, and time-series metrics is required.

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Network Engineering
  • Data Annotation
  • Log Analysis
  • Telemetry Analysis
  • Data Labeling
  • Schema Definition
  • Enterprise Networking
  • Firewall Management
  • Switch Configuration
  • Access Point Management
  • Time-series Metrics
  • Machine Learning Input

Job areas

  • Technology
  • Engineering
  • Data & Analytics
  • Software
  • Science & Research

Additional details

Minimum experience
2+ years
Apply by
Aug 27, 2026
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Greater Montreal Metropolitan Area
Seniority
Not Applicable