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: For any help or support, reach out to: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this chance. #J-18808-Ljbffr

📌 Network Operations Center Engineer - $50 - $70 An Hour - Remote (Toronto)
🏢 Mercor
📍 Toronto