This job post has expired on September 14, 2026. It is likely that the position has already been filled.
Network Engineer – AI Data Annotation at Mercor
posted 1 month agoNetwork Engineer – AI Data Annotation | $50–70/hr | Remote (US & Canada)
A cutting-edge infrastructure company is seeking an experienced Level 3 / Tier 3 Network Support Engineer to help label, annotate, and structure real-world networking data that will power the next generation of AI-driven infrastructure systems. This is a unique opportunity to apply your deep troubleshooting expertise to a high-impact data science initiative.
What You'll Do
- Review and analyze real-world network data — including logs, configurations, telemetry, and event streams — from deployed production environments.
- Label and classify network behaviors, anomalies, incidents, and issue patterns to build high-quality training datasets.
- Collaborate with the client team to define schemas and data structures for large-scale ML pipelines.
You're a Strong Fit If You
- Currently work as a Level 3 / Tier 3 or Principal Support Engineer, handling on-call rotations, root cause analyses (RCAs), final escalations, and outage troubleshooting — required.
- Have hands-on experience supporting end-customer enterprise networks (switches, APs, firewalls) across industries such as retail, healthcare, finance, manufacturing, or hospitality — required.
- Possess strong enterprise Wi-Fi/wireless proficiency, including Cisco WLC, Aruba, or Meraki controllers, 802.1X/RADIUS, and wireless troubleshooting — required.
- Perform packet-level analysis using tools like Wireshark, tcpdump, or SPAN captures.
- Are curious about how raw infrastructure data is transformed into machine learning input.
Role Details
- Hours: 30–40 hours/week, overlapping Pacific Time (PT) business hours.
- Contract type: Individual 1099 — no corp-to-corp or agency billing.
- Work authorization: Must be authorized to work in the US or Canada without sponsorship.
- You will interface directly with the client team.
Note: This is a network maintainer role. It is not suited for those primarily focused on network design/architecture, cloud/SRE, security/SOC, or IT helpdesk work.
Your contributions will directly shape how intelligent systems reason about real-world networks — a meaningful role at the intersection of infrastructure expertise and AI development.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.