Network Support Engineer - AI Trainer

Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS , and wireless troubleshooting.

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)

• 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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