Remote Code Review Engineer - AI & Debugging Specialist

AI Trainer Jobs; Northern (KY); Hybrid; USD 153,000 - 205,000; Part time

Job summary

AI Trainer Jobs is seeking a Planning Engineer for a remote, contractor-based review track. You will evaluate production code, debugging traces, and AI outputs against real-world standards, reproduce failures, write targeted unit tests, and explain fixes to the modeling team.

Ideal candidates will have strong engineering experience, the ability to draft concise, persuasive review notes, and reliable async availability of at least 10 hours weekly.

Qualifications

• Strong day‑job engineering experience — you can read, run, and debug unfamiliar code for Planning Engineer work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework: pytest, Jest, JUnit, Go test, RSpec, or equivalent.
• Clear written reasoning — your review note has to convince another 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 Planning Engineer assignments.
• Grade planning 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 and document the patch the model should produce.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Planning Engineer engineering review

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AI Trainer Jobs is seeking a Planning Engineer for a remote, contractor-based review track. You will evaluate production code, debugging traces, and AI outputs against real-world standards, reproduce failures, write targeted unit tests, and explain fixes to the modeling team.

Ideal candidates will have strong engineering experience, the ability to draft concise, persuasive review notes, and reliable async availability of at least 10 hours weekly.