Network Engineer for Autonomous Systems Data Annotation [Remote]
This role offers a unique opportunity to combine your expertise in network support with a passion for data science and autonomous infrastructure. As a key contributor, you will engage in hands-on work to label, annotate, and structure networking data generated from real production systems, powering the next generation of AI-driven infrastructure.
Key Responsibilities
- Review real-world data from deployed networks, including logs, configurations, telemetry, and event streams.
- Label and classify network behaviors, issues, anomalies, and incident patterns.
- Help define schemas and structure for large-scale data pipelines that downstream machine learning models will utilize for training.
Qualifications
- Current experience as a Level 3 / Tier 3 / Principal Support Engineer, maintaining enterprise infrastructure stability, including on-call rotations, root cause analyses, and troubleshooting outages, Must Have.
- Hands-on experience with end-customer enterprise networks, including switches, access points, and firewalls across various sectors such as retail, healthcare, finance, manufacturing, universities, and hospitality, Must Have.
- A curiosity about how raw infrastructure data transforms into machine learning input.
- A desire to contribute to the future of autonomous networking systems.
Your work will directly influence the pipelines that power AI models, shaping how intelligent systems understand and reason about networks in real-world scenarios. Work Terms
- This is a remote position.
- Expected work hours are 30-40 hours per week.
Compensation
- Hourly rate ranges from $50 to $70.