data engineer
Title posted on Talent.com - Network Engineer - Data Annotation
Posted on June 07, 2026 by Employer details Mercor
Job details
<p><strong>About the job</strong></p> <p><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.</p> <p><strong>Position:</strong> Network Engineer - Data for Autonomous Systems annotation<br/> <strong>Type:</strong> <strong>Contract</strong><br/> <strong>Compensation:</strong> <strong>$50?$70/hour</strong><br/> <strong>Location:</strong> <strong>Remote</strong><br/> <strong>Commitment:</strong> <strong>30?40 hours/week</strong></p> <p><strong>Role Responsibilities</strong></p> <ul> <li>Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.</li> <li>Label and classify key behaviors, issues, and anomalies in network data.</li> <li>Help define schemas and structure for large-scale <strong>data pipelines</strong>.</li> <li>Interface directly with the client team to ensure data quality and relevance.</li> <li>Work <strong>independently and asynchronously</strong> to meet deadlines and improve <strong>AI model performance</strong>.</li> </ul> <p><strong>Qualifications</strong></p> <p><strong>Must-Have</strong></p> <ul> <li>Experience working as a <strong>network engineer</strong>, ideally with enterprise networks (switches, APs, firewalls, etc.).</li> <li>Comfort with interpreting logs, events, and time-series metrics.</li> <li>Curiosity about how raw infrastructure data becomes <strong>machine learning</strong> input.</li> </ul> <p><strong>Application Process (Takes 20?30 mins to complete)</strong></p> <ul> <li>Upload resume</li> <li>AI interview based on your resume</li> <li>Submit form</li> </ul> <p><strong>Resources & Support</strong></p> <ul> <li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li> <li>For any help or support, reach out to: support@mercor.com</li> </ul> <p><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em></p>- Location Toronto, ON
- Work location On site
- Salary$50.00HOUR hourly
- Terms of employment Part time
- Starts as soon as possible
- vacancies 1 vacancy
- Source Talent.com #617783647436150141
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