Network Engineer - Data for Autonomous Systems

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$50-$80/hr From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

16% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Network Engineer - Data for Autonomous Systems United States | Remote | San Francisco 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.

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