Network Specialist - Fully Remote

mercor; United States; À distance; USD 69 000 - 96 000; Temps partiel

Résumé du poste

Mercor is seeking a Network Engineer for data annotation tasks to support autonomous systems. This remote contract role focuses on reviewing real-world network data, labeling behaviors and anomalies, and helping define schemas for large-scale data pipelines.

You will interface with the client team, leverage your enterprise networking experience, and work asynchronously for 30–40 hours per week to deliver high-quality machine learning inputs.

Qualifications

• Experience as a network engineer in enterprise networks.
• Ability to interpret logs, events, and time-series metrics.
• Curiosity about how raw infrastructure data becomes ML input.

Responsabilités

• 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.

Connaissances

Network engineering

Logs and metrics interpretation

Data-to-ML curiosity

Outils

Enterprise networks

Description du poste

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

• 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.