Network Specialist - Fully Remote
Source: Himalayas
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Job Description
About the jobMercor connects elite 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: Network Engineer - Data for Autonomous Systems annotationType:ContractCompensation:$50–$70/hourLocation:RemoteCommitment:30–40 hours/weekRole ResponsibilitiesReview real-world data from deployed networks, including logs, configs, telemetry, and event streams.Label and classify key behaviors, issues, and anomalies in network data.Help define schemas and structure for large-scale data pipelines.Interface directly with the client team to ensure data quality and relevance.Work independently and asynchronously to meet deadlines and improve AI model performance.QualificationsMust-HaveExperience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).Comfort with interpreting logs, events, and time-series metrics.Curiosity about how raw infrastructure data becomes machine learning input.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas
Full Description
About the jobMercor connects elite 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: Network Engineer - Data for Autonomous Systems annotationType:ContractCompensation:$50–$70/hourLocation:RemoteCommitment:30–40 hours/weekRole ResponsibilitiesReview real-world data from deployed networks, including logs, configs, telemetry, and event streams.Label and classify key behaviors, issues, and anomalies in network data.Help define schemas and structure for large-scale data pipelines.Interface directly with the client team to ensure data quality and relevance.Work independently and asynchronously to meet deadlines and improve AI model performance.QualificationsMust-HaveExperience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).Comfort with interpreting logs, events, and time-series metrics.Curiosity about how raw infrastructure data becomes machine learning input.Application Process (Takes 20–30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.Originally posted on Himalayas