Network Engineer - Talent Network (Data for Autonomous Systems)

Mercor; India; Remote; INR 6,408,000 - 9,826,000; Full time

Job summary

Mercor seeks an experienced network engineer for a remote, contract role. You will review real-world data from deployed networks: logs, configs, telemetry, event streams; label and classify network behaviors, issues, anomalies, and incident patterns; and help define schemas for large-scale data pipelines that downstream ML models will train on.

The role requires hands-on enterprise network experience and 5+ years in network engineering, operations or support, plus the ability to act as an

Qualifications

• Minimum 5 years in network engineering, operations or support.
• Hands-on experience with enterprise production networks in real environments.
• Currently or most recently in a hands-on network role.

Responsibilities

• Review real-world data from deployed networks: logs, configs, telemetry, event streams.
• Label and classify network behaviors, issues, anomalies, and incident patterns.
• Help define schemas and structure for large-scale data pipelines used by ML models.

Skills

Network engineering

Network operations

Network support

Hands-on troubleshooting

Enterprise WLAN troubleshooting

Tools

Wireshark

tcpdump

SPAN captures

Job description

Company

Mercor

Commitment

Talent network

Location

Remote

Location requirements

Canada United States

About this talent network

Our client is building vertically integrated networking systems and using the data they generate to power the next generation of AI-driven infrastructure. They're looking for engineers experienced in troubleshooting, escalations, packet analysis and RCA workflows to help label, annotate, and structure networking data from real production systems.

In this role, you'll:

• Review real-world data from deployed networks: logs, configs, telemetry, event streams
• Label and classify network behaviors, issues, anomalies, and incident patterns
• Help define schemas and structure for large-scale data pipelines that downstream ML models will train on

Must have:

• Hands-on experience operating enterprise production networks — switches, access points and firewalls — in end-customer environments such as retail, healthcare, financial, manufacturing, university or hospitality
• At least 5 years of experience in network engineering, network operations or network support roles
• Currently, or most recently, working in a hands-on network engineering, network operations or network support role

Strongly preferred:

• Experience as an escalation point for network incidents — Tier 3, final escalations, on-call rotation, RCAs, troubleshooting outages
• Hands-on enterprise Wi-Fi — WLAN controllers (Cisco WLC/9800, Aruba, or Meraki), 802.1X / RADIUS, and wireless troubleshooting
• Packet-level troubleshooting you do yourself — Wireshark, tcpdump, SPAN captures
• Exposure to a wide variety of network environments, vendors and customer types — whether through an MSP, VAR or systems integrator, or a single enterprise with a genuinely diverse estate
• Networks operated across multiple sites or a large campus environment
• Curiosity about how raw infrastructure data becomes machine learning input

This is a maintainer role — likely not the right fit if your current work is mainly network design/architecture, cloud/SRE, security/SOC, or IT helpdesk.

Your work will directly feed into the pipelines that power client's AI models, and help shape how intelligent systems reason about networks in the real world.

Here are more details about the role:

• You will interface directly with the client team.
• You are expected to work 30-40 hours/week, with your hours overlapping the Pacific (PT) business day.
• This is an individual 1099 contract paid to a personal account — no corp-to-corp or agency billing.
• You must be authorized to work in the US or Canada without sponsorship. Please note this project cannot accommodate F-1 STEM OPT, as Mercor is unable to sign Form I-983. Standard F-1 OPT is fine.
• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.