Network Engineer - Data for Autonomous Systems annotation

Weekday AI is seeking a Level 3 / Tier 3 Network Engineer focused on data for autonomous systems. The role involves analyzing and troubleshooting enterprise networking issues while contributing to the development of AI-driven infrastructure through data labeling and classification.

Responsibilities:

• Analyze and troubleshoot complex enterprise networking issues and infrastructure incidents
• Support investigations related to network outages, service degradation, performance bottlenecks, and escalated customer issues
• Participate in root cause analysis (RCA) reviews and document technical findings
• Contribute domain expertise regarding enterprise networking environments and operational best practices
• Review and interpret network telemetry, logs, alerts, and infrastructure data
• Collaborate directly with the client team to provide technical insights that improve AI training datasets and model performance
• Help bridge the gap between real-world network operations and machine learning applications
• Provide feedback on networking scenarios, operational workflows, and troubleshooting methodologies used in enterprise environments

Requirements:

• Currently working as a Level 3, Tier 3, Senior, Lead, or Principal Support Engineer supporting enterprise network infrastructure
• Hands-on experience managing, troubleshooting, and supporting enterprise networking environments
• Strong experience with technologies such as: Network switches, Wireless access points (APs), Firewalls, Routing and switching infrastructure
• Proven experience handling: Production incidents, Final-level escalations, On-call support responsibilities, Root cause analysis (RCA), Network troubleshooting and outage resolution
• Experience supporting end-customer environments across industries such as: Retail, Healthcare, Financial Services, Manufacturing, Higher Education, Hospitality, Large Enterprise Organizations
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills
• Curiosity about machine learning, AI systems, and data-driven infrastructure operations
• Interest in understanding how raw infrastructure and operational data is transformed into machine learning inputs
• Experience working with network monitoring, observability, or operational analytics platforms
• Familiarity with automation, network operations, or intelligent infrastructure technologies