Network Engineer - Data for Autonomous Systems
Meter · Remote
MeritLog read this listing from Meter's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Remote
- Salary
- $50 – $80 per hour
- Location
- United States
- Occupation
- Computer Systems Engineers/Architects(O*NET 15-1299.08)
- Company website
- www.meter.ai
Hiring context
How this role compares at Meter
Meter has 47 live roles in MeritLog’s catalog across 8 job families, and 5 of them are in data & analytics. 15 of those listings publish a pay range, a disclosure rate of 32%.
Meter concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Review real-world data from deployed networks: logs, configs, telemetry, event streams
- Label and classify key behaviors, issues, and anomalies
- Help define schemas and structure for large-scale data pipelines
- Have experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)
- Are comfortable interpreting logs, events, and time-series metrics
- Are curious about how raw infra data becomes machine learning input
- Want to contribute to the future of autonomous networking systems
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
Contract role: 3 to 6 month contract to hire Location: Onsite Bay Area Compensation: $50-80 per hour (based on experience) Are you a network engineer who’s curious about data science and wants to work at the intersection of infrastructure and intelligence? At Meter, we’re building vertically integrated networking systems and now we’re using the data they generate to power the next generation of autonomous infrastructure. We’re looking for network engineers to help us label, annotate, and structure the data flowing through our systems. This is a hands-on role that blends your knowledge of networks with a growing understanding of how data pipelines are built and used in AI systems. In this role, you’ll: - Review real-world data from deployed networks: logs, configs, telemetry, event streams - Label and classify key behaviors, issues, and anomalies - Help define schemas and structure for large-scale data pipelines You’re a strong fit if you: - Have experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.) - Are comfortable interpreting logs, events, and time-series metrics - Are curious about how raw infra data becomes machine learning input - Want to contribute to the future of autonomous networking systems Your work will directly feed into the pipelines that power Meter’s AI models, and help shape how intelligent systems reason about networks in the real world.