About the job
Mercor 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 annotation Type:Contract Compensation:$50–$70/hour Location:Remote Commitment:30–40 hours/week
Role Responsibilities
Review 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. Qualifications
Must-Have
Experience 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)
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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.
Mercor connects elite creative and technical talent with leading AI research labs. The company specializes in matching top-tier professionals with AI research organizations to support advanced projects. Mercor facilitates work across multiple domains including financial analysis, hedge fund strategy evaluation, and deal structuring, leveraging AI to enhance model training and research capabilities. The company bridges the gap between specialized talent and cutting-edge AI research institutions.
