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 network behaviors, issues, anomalies, and incident patterns.
Define schemas and structure for large-scale data pipelines that downstream ML models will train on.
Interface directly with the client team to ensure data accuracy and relevance.
Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
Current role as a Level 3 / Tier 3 / Principal Support Engineer.
Experience with end-customer enterprise networks (switches, APs, firewalls).
Proficiency in Wi-Fi/wireless, including Cisco WLC, Aruba, or Meraki.
Skills in packet-level troubleshooting using Wireshark, tcpdump, and SPAN captures.
Authorization to work in the US or Canada without sponsorship.
Compensation & Legal
Individual 1099 contract paid to a personal account. Application Process (Takes 20–30 mins to complete)
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Resources & Support
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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.
