Network Engineer - Data for Autonomous Systems Annotation
Job description
About the Role
We are seeking Network Engineers to contribute to AI training initiatives by annotating and structuring real-world network data used in autonomous systems.
This role sits at the intersection of networking and data science, where your expertise in infrastructure will directly support the development of intelligent, AI-driven systems.
Key Responsibilities
- Review real-world network data including logs, configurations, telemetry, and event streams
- Label and classify network behaviors, anomalies, and issues
- Help define data schemas and structures for large-scale AI data pipelines
- Collaborate directly with client teams on data annotation workflows
Requirements
- Professional experience as a Network Engineer (enterprise networking preferred)
- Familiarity with switches, access points, firewalls, and network infrastructure
- Ability to interpret logs, events, and time-series metrics
- Strong analytical thinking and attention to detail
- Interest in data pipelines and AI systems
Work Details
- Work Type: Fully remote
- Engagement: Contractor
- Schedule: 30–40 hours per week
Location Requirement
- Must be authorized to work in:
- United States
- Canada
About the Opportunity
Your work will directly contribute to training AI systems that power autonomous networking infrastructure. This is a unique opportunity to apply networking expertise to cutting-edge AI systems and data pipelines.
You will be redirected to the company's website to complete your application.