Network Engineer - Data Annotation
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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Remote Skills: Artificial Intelligence (AI), Benchmarking, Customer Relations, Data Management, Data Quality, Firewalls, Machine Learning, Metrics, Network Architecture/Engineering, Network Switching, Performance Management, Performance Modeling, Research Laboratory, Telemetry, Time Management, Training Data Sets About the Company: Mercor