Network Engineer - Data Annotation for Autonomous Systems

This role offers an exciting opportunity for network engineers to engage at the intersection of infrastructure and data science. As part of a team focused on building vertically integrated networking systems, you will play a crucial role in labeling, annotating, and structuring data generated by these systems to enhance the next generation of autonomous infrastructure.

• Review real-world data from deployed networks, including logs, configurations, telemetry, and event streams.
• Label and classify key behaviors, issues, and anomalies within the data.
• Assist in defining schemas and structuring large-scale data pipelines.

• Experience as a network engineer, preferably with enterprise networks (switches, access points, firewalls, etc.) - Must Have.
• Ability to interpret logs, events, and time-series metrics.
• Curiosity about how raw infrastructure data is transformed into machine learning input.
• A desire to contribute to the advancement of autonomous networking systems.

Your contributions will directly influence the data pipelines that power AI models, shaping how intelligent systems understand and interact with real-world networks.

• Remote work environment.
• Expected commitment of 30-40 hours per week.

• Hourly rate ranging from $50 to $70.