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Mercor
Network Engineer - Data AnnotationMercor • Toronto, Ontario, Canada
Network Engineer - Data Annotation

Network Engineer - Data Annotation

Mercor • Toronto, Ontario, Canada
1 day ago
Salary
CA$50.00 hourly
Job type
  • Part-time
  • Remote
  • Quick Apply
Job description

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 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.

Qualifications

Must-Have

  • Current role as a 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.

Compensation & Legal

  • Individual 1099 contract paid to a personal account.

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: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Network Engineer - Data Annotation • Toronto, Ontario, Canada

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