Network Engineer - Data Annotation

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:

For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas