Remote Civil/Structural Code Reviewer and QA Engineer

AuraOne; United States; À distance; USD 153 000 - 207 000; Plein temps

Résumé du poste

AuraOne is seeking a highly skilled Civil/Structural Engineer reviewer to remotely evaluate production code, debug traces, and AI outputs for real-world correctness. You will reproduce failures, write unit tests the model should have written, and explain fixes so the modeling team can target gaps.

Candidates should read, run, and debug unfamiliar code, write concise test cases, and provide clear reasoning in reviews.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Civil/Structural Engineer 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 whatever you use.
• 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.

Responsabilités

• Run and reproduce candidate code outputs in a sandboxed environment for Civil/Structural Engineer assignments.
• Grade civil/structural 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.

Connaissances

Code review

Debugging

Unit testing

Software engineering judgment

Civil/Structural Engineer engineering?

Outils

pytest

Jest

JUnit

Go test

RSpec

Description du poste

AuraOne is seeking a highly skilled Civil/Structural Engineer reviewer to remotely evaluate production code, debug traces, and AI outputs for real-world correctness. You will reproduce failures, write unit tests the model should have written, and explain fixes so the modeling team can target gaps.

Candidates should read, run, and debug unfamiliar code, write concise test cases, and provide clear reasoning in reviews.