Job Description

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:
• For any help or support, reach out to: [email protected]

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

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