Remote QA/Test Engineer for AI Code Review & Testing

AuraOne; United States; On-site; USD 83,000 - 124,000; Full time

Job summary

AuraOne is seeking a QA/Test Engineer for a remote engineering review track focused on production code, debugging traces, and AI outputs against real-world correctness standards. You will reproduce failures, write the tests the model should have written, and explain fixes so the modeling team can target gaps.

You will grade solutions for correctness, complexity, idiomatic style, and edge-case handling; tag failure modes with severity scores; document recurring code‑generation issues; and align

Qualifications

• Strong day‑job engineering experience — you can read, run, and debug unfamiliar code for QA/Test Engineer work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with at least one of: 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 QA/Test Engineer assignments.
• Grade qa/test engineer engineering review solutions for correctness, complexity, idiomatic 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

QA/Test Engineer engineering review

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne is seeking a QA/Test Engineer for a remote engineering review track focused on production code, debugging traces, and AI outputs against real-world correctness standards. You will reproduce failures, write the tests the model should have written, and explain fixes so the modeling team can target gaps.

You will grade solutions for correctness, complexity, idiomatic style, and edge-case handling; tag failure modes with severity scores; document recurring code‑generation issues; and align