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Remote Wireless Sensor Network Jobs in Toronto, ON

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS ...

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Proficiency in Wi-Fi/wireless, including Cisco WLC , Aruba , or Meraki . * Skills in packet-level ...

Remote Wireless Sensor Network information

What is the difference between Remote Wireless Sensor Network vs Wireless Network Engineer?

AspectRemote Wireless Sensor NetworkWireless Network Engineer
CredentialsDegree in Computer Science, Electrical Engineering, or related field; certifications like Cisco CCNA or CWNASimilar certifications; Cisco CCNA, CWNA, or equivalent
Work EnvironmentField deployments, remote locations, labs, or officesOffice settings, network operation centers, or client sites
Industry UsageIoT, environmental monitoring, industrial automationTelecommunications, enterprise networks, service providers
Search & Comparison IntentFocus on sensor deployment, data collection, remote monitoringNetwork design, troubleshooting, wireless infrastructure

Remote Wireless Sensor Network specialists focus on deploying and managing sensor systems in remote or field environments, often involving IoT applications. Wireless Network Engineers design, implement, and troubleshoot wireless networks within organizations. While both roles require similar certifications and technical skills, their work environments and primary responsibilities differ significantly.

Infographic showing various Remote Wireless Sensor Network job openings in Toronto, ON as of June 2026, with employment types broken down into 2% Internship, 49% Full Time, 19% Part Time, and 30% Contract. Highlights an 45% Physical, 6% Hybrid, and 49% Remote job distribution.

Network Engineer - Data Annotation

Mercor

Toronto, ON • Remote

CA$50 - CA$70/hr

Full-time

Posted 9 days ago


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.
  • 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.

Qualifications

Must-Have

  • 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.

Compensation & Legal

  • 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.