Network Engineer - Data Annotation
Review and label real-world network data, including logs and telemetry, to identify behaviors and anomalies. Define data schemas for large-scale pipelines used to train machine learning models for autonomous systems.
- Remote
- Canada, United States
- Posted Aug 15, 2026
- Apply by Sep 14, 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 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: [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
Review and label real-world network data, including logs and telemetry, to identify behaviors and anomalies. Define data schemas for large-scale pipelines used to train machine learning models for autonomous systems.
Requirements
Must be a current Level 3, Tier 3, or Principal Support Engineer with experience in enterprise networks and wireless technologies. Proficiency in packet-level troubleshooting tools and authorization to work in the US or Canada is required.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Network Engineering
- Data Annotation
- Packet-level Troubleshooting
- Wi-Fi/Wireless
- Cisco WLC
- Aruba
- Meraki
- Wireshark
- Tcpdump
- SPAN Captures
- Log Analysis
- Telemetry Analysis
- Schema Definition
- Data Pipelines
- Enterprise Networking
- Incident Pattern Classification
Job areas
- Engineering
- Technology
- Data & Analytics
- Software
- Customer Service & Support
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 14, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Location requirements
- Country, Greater Montreal Metropolitan Area
- Seniority
- Not Applicable