Posted
24 Aug 2026
Last seen
24 Aug 2026
Location
United States
Lifecycle
fresh
Grade
C
About the jobMercor 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 annotationType:ContractCompensation:$50–$70/hourLocation:RemoteCommitment:30–40 hours/weekRole 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.
QualificationsMust-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 & Legal1099 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
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.
QualificationsMust-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 & Legal1099 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