Remote Code Review Engineer for Autonomous Network Systems

AI Trainer Jobs; United States; Remote; USD 69,000 - 96,000; Full time

Job summary

AI Trainer Jobs is seeking a Network Engineer to evaluate autonomous systems annotation code in a remote, contractor role. You will run and reproduce candidate code outputs, grade solutions for correctness and style, and write minimal failing tests to demonstrate bugs.

You will compare paired solutions and provide rationale aligned with rubric. The role emphasizes strong debugging skills, concise review notes, and experience with testing frameworks.

Qualifications

• Strong day-job engineering experience reading, running, and debugging unfamiliar code.
• Ability to write concise unit tests capturing a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec, or equivalents).

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for the annotation assignments.
• Grade network engineer data for autonomous systems annotation engineering review solutions for correctness, style, and edge-case handling.
• Write the smallest failing test that demonstrates the bug.
• Compare paired solutions and rank them with a written rationale tied to the rubric.

Skills

Code review

Debugging

Unit testing

Software judgment

Network engineering

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AI Trainer Jobs is seeking a Network Engineer to evaluate autonomous systems annotation code in a remote, contractor role. You will run and reproduce candidate code outputs, grade solutions for correctness and style, and write minimal failing tests to demonstrate bugs.

You will compare paired solutions and provide rationale aligned with rubric. The role emphasizes strong debugging skills, concise review notes, and experience with testing frameworks.