Senior Network Engineer | Upto $70/hr - AI Trainer

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 key behaviors, issues, and anomalies in network data.
• Help define schemas and structure for large-scale data pipelines.
• Interface directly with the client team to ensure data quality and relevance.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

• Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
• Comfort with interpreting logs, events, and time-series metrics.
• Curiosity about how raw infrastructure data becomes machine learning input.

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.