Remote Network Engineer: Code Review & QA for AI Systems

AuraOne; United States; On-site; USD 69,000 - 96,000; Part time

Job summary

AuraOne is seeking a Network Engineer - Talent Network reviewer to evaluate production code, debug traces, and AI outputs for autonomous systems data in a remote US setting. You’ll reproduce candidate solutions, write minimal failing tests, and provide rationale to guide model improvements.

The role focuses on grading correctness, style, and edge-case handling, with emphasis on clear reasoning and asynchronous availability of about 10 hours per week as a contractor.

Qualifications

• Strong day-job engineering experience—read, run, and debug unfamiliar code for Network Engineer - Talent Network (Data for Autonomous Systems) work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, or JUnit; Go test, RSpec, or equivalents).
• Clear written reasoning—review notes must convince a senior engineer.
• Reliable async availability for at least 10 hours per week.
• Prior code-review or technical-interview-grading experience is a plus.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Network Engineer - Talent Network (Data for Autonomous Systems) assignments.
• Grade network engineer engineering review solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate the bug a model output missed.
• Compare paired solutions and rank them with a written rationale tied to the rubric.
• Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.
• Document recurring code-generation failures so the modeling team can target them.
• Calibrate against gold-standard reviews to keep inter-rater agreement above target.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Network Engineer engineering review

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne is seeking a Network Engineer - Talent Network reviewer to evaluate production code, debug traces, and AI outputs for autonomous systems data in a remote US setting. You’ll reproduce candidate solutions, write minimal failing tests, and provide rationale to guide model improvements.

The role focuses on grading correctness, style, and edge-case handling, with emphasis on clear reasoning and asynchronous availability of about 10 hours per week as a contractor.