Remote QA/Test Engineer for AI Code Review & Debug

AI Trainer Jobs; United States; Remote; USD 83,000 - 124,000; Part time

Job summary

AI Trainer Jobs is seeking a QA/Test Engineer for a remote engineering review track designed to evaluate production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. You will reproduce failures, write the unit tests the model should have written, and explain fixes for the modeling team.

Responsibilities include running and reproducing candidate code in sandboxed environments, grading solutions for correctness and edge-case handling, writing minimal

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code
• Comfort writing concise unit tests that capture a single failure mode
• Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec, or similar)
• Clear written reasoning to 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 QA/Test Engineer assignments.
• Grade qa/test 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.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

QA/Test Engineer engineering review

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AI Trainer Jobs is seeking a QA/Test Engineer for a remote engineering review track designed to evaluate production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. You will reproduce failures, write the unit tests the model should have written, and explain fixes for the modeling team.

Responsibilities include running and reproducing candidate code in sandboxed environments, grading solutions for correctness and edge-case handling, writing minimal