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.
Help define schemas and structure for large-scale data pipelines that downstream ML models will train on.
Collaborate with client teams to ensure data accuracy and relevance.
Work independently and asynchronously to meet deadlines while improving AI model performance.
Qualifications
Must-Have
Experience as a Level 3 / Tier 3 / Principal Support Engineer with on-call rotation, RCAs, and final escalations.
Hands-on experience with end-customer enterprise networks, including switches, APs, and firewalls.
Proficiency in Wi-Fi/wireless technologies, including Cisco WLC, Aruba, Meraki, 802.1X/RADIUS, and wireless troubleshooting.
Ability to perform packet-level troubleshooting with Wireshark, tcpdump, and SPAN captures.
Authorization to work in the US or Canada without sponsorship.
Compensation & Legal
1099 contract paid to a personal account. Application Process (Takes 20–30 mins to complete)
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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.
