Network Engineer - Data Annotation
Offre en anglaisReview 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.
- Télétravail
- Canada, United States
- Publié 15 août 2026
- Postuler avant le 14 sept. 2026
- 1 poste
Résumé du poste
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. ,
Ce que vous ferez
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.
Exigences
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.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- 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
Domaines d’emploi
- Engineering
- Technology
- Data & Analytics
- Software
- Customer Service & Support
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 14 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Exigences de lieu
- Country, Greater Montreal Metropolitan Area
- Niveau d’expérience
- Not Applicable