Remote Ngspice Expert - Code Review & QA Engineer

AI Trainer Jobs; United States; Remote; USD 69,000 - 165,000; Full time

Job summary

AuraOne seeks a remote engineering reviewer specializing in Ngspice to evaluate production code, debug traces, and AI outputs for real-world correctness. Reviewers reproduce failures, write unit tests the model should have written, and explain fixes to guide the modeling team.

Responsibilities include running candidate code in sandbox, grading solutions for correctness and edge cases, and drafting minimal failing tests with a clear justification for ranking paired solutions against the rubric.

Qualifications

• Strong day-job engineering experience.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec).
• Clear written reasoning — review notes must 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 Electronic engineer (Ngspice expert) assignments.
• Grade electronic 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.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Ngspice

Testing frameworks

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne seeks a remote engineering reviewer specializing in Ngspice to evaluate production code, debug traces, and AI outputs for real-world correctness. Reviewers reproduce failures, write unit tests the model should have written, and explain fixes to guide the modeling team.

Responsibilities include running candidate code in sandbox, grading solutions for correctness and edge cases, and drafting minimal failing tests with a clear justification for ranking paired solutions against the rubric.