Senior Network Engineer | Upto $70/hr
Job Description
FTE: Network Engineer (with Programming) – Data & AI Systems
Experience as a network engineer with enterprise networks (switches, APs, firewalls, etc.)
Programming or scripting experience (e.g., Python, Bash)
Comfort with interpreting logs, events, and time-series metrics
Benefits
$50–$70/hour
Responsibilities
Review real-world data from deployed networks, including logs, configurations, telemetry, and event streams
Label, classify, and analyze network behaviors, issues, and anomalies to enhance AI system understanding
Write scripts and tools to process, clean, and transform network data using Python and Bash
Define schemas and structure for large-scale data pipelines to support machine learning operations
Collaborate closely with the client team to improve data quality and usability for ML systems
Job description
About The Job
Mercor
connects ***** creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include
Benchmark
,
General Catalyst
,
Peter Thiel
,
Adam D'Angelo
,
Larry Summers
, and
Jack Dorsey
.
Position:
FTE: Network Engineer (with Programming) – Data & AI Systems
Type:
Contract
Compensation:
$50–$70/hour
Location:
San Francisco, CA (primarily in-person)
Commitment:
Full-time
Role Responsibilities
• Review real-world data from deployed networks, including logs, configurations, telemetry, and event streams.
• Label, classify, and analyze network behaviors, issues, and anomalies to enhance AI system understanding.
• Write scripts and tools to process, clean, and transform network data using Python and Bash.
• Define schemas and structure for large-scale data pipelines to support machine learning operations.
• Collaborate closely with the client team to improve data quality and usability for ML systems.
Qualifications
Must-Have
• Experience as a network engineer with enterprise networks (switches, APs, firewalls, etc.).
• Programming or scripting experience (e.g., Python, Bash).
• Comfort with interpreting logs, events, and time-series metrics.
Preferred
• Experience automating workflows or working with data pipelines.
• Curiosity about how raw infrastructure data becomes machine learning input.
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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