Network Specialist - Fully Remote

About the Role

Mercor specializes in connecting top-tier technical and creative professionals with pioneering AI research institutions. Headquartered in San Francisco and backed by investors like Benchmark and General Catalyst, Mercor is seeking a Network Engineer for a contract position focused on data annotation in autonomous systems.

Key Responsibilities

• Analyze real-world network data including logs, configuration files, telemetry, and event streams.
• Label and categorize significant behaviors, network issues, and anomalies within the datasets.
• Assist in designing schemas and organizing structures for extensive data pipelines.
• Collaborate directly with clients to maintain the accuracy and relevance of data.
• Work autonomously and manage deadlines effectively to contribute to improving AI model accuracy.

Required Qualifications

• Previous experience as a network engineer, preferably with enterprise-level environments involving switches, access points, and firewalls.
• Proficient in analyzing logs, event data, and time-series performance metrics.
• Strong interest in understanding how raw network infrastructure data is transformed into inputs that power machine learning models.

Application Process

• Submit a resume.
• Complete an AI-driven interview based on the resume.
• Fill out the accompanying application form.

Additional Information

• The AI interview and application typically take 20 to 30 minutes to complete.
• For inquiries or assistance, candidates may contact [email protected].
• Applications are reviewed daily, and candidates are encouraged to promptly complete all interview and application steps for consideration.