Network Support Specialist - AI Trainer

Obsidian; Washington (District of Columbia); On-site; USD 83,000 - 124,000; Full time

Job summary

Obsidian is seeking a Level 3 / Tier 3 network support engineer with interest in data science and AI-driven infrastructure. You will label, classify, and structure networking data from real production systems while handling final escalations.

The role blends on-call incident response with evolving ML data pipelines. You will interface with the client team and work 30-40 hours/week overlap PT business hours, as a 1099 contract.

Qualifications

• Must have L3/Tier 3 incident escalation experience.
• Hands-on enterprise networks experience across multiple sectors.
• Wireless proficiency with enterprise WLAN controllers and 802.1X.
• Ability to perform packet-level troubleshooting with common tools.
• Interest in how raw infra data becomes ML input.

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 for large-scale data pipelines for ML models.

Skills

L3 support

Enterprise networking

Wi-Fi troubleshooting

Packet analysis

Data labeling

RCA investigations

Tools

Wireshark

tcpdump

SPAN captures

Job description

Are you a Level 3 / Tier 3 network support engineer interested in data science and autonomous infrastructure? 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 final escalations, packet analysis, troubleshooting, and RCA workflows to help label, annotate, and structure networking data from real production systems.

This is a hands-on role that blends your L3 troubleshooting and incident-response experience with a growing understanding of how data pipelines are built and used in AI 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

You're a strong fit if you:

• Work today as a Level 3 / Tier 3 / Principal Support Engineer keeping existing enterprise infrastructure online and stable — on-call rotation, RCAs, final escalations, troubleshooting outages — Must Have

• Have hands-on experience with end-customer enterprise networks (switches, APs, firewalls in retail, healthcare, financial, manufacturing, university, hospitality, etc.) — Must Have

• Bring hands-on Wi-Fi/wireless proficiency — enterprise WLAN controllers (Cisco WLC, Aruba, or Meraki), 802.1X/RADIUS, and wireless troubleshooting — Must Have

• Do packet-level troubleshooting yourself — Wireshark, tcpdump, SPAN captures

• Are curious about how raw infra 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.