AI Summary
Review real-world network data, label and classify key behaviors, and interface with client teams to ensure data quality. Must have experience as a network engineer and comfort with interpreting logs and time-series metrics.
Key Highlights
Review real-world network data
Label and classify key behaviors
Interface with client teams
Key Responsibilities
Review real-world data from deployed networks
Label and classify key behaviors, issues, and anomalies in network data
Help define schemas and structure for large-scale data pipelines
Technical Skills Required
Benefits & Perks
$50-$70/hour compensation
Remote work
30-40 hours/week commitment
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.
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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.
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- Upload resume
- AI interview based on your resume
- Submit form
- 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
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