Remote C Code Reviewer & QA Engineer

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

Job summary

AuraOne is seeking a C Programmer reviewer to evaluate production code, debugging traces, and AI outputs in a remote setting. Reviewers reproduce failures, write the unit tests the model should have written, and explain fixes so the modeling team can target gaps.

Engineering model quality hinges on code that compiles, passes tests, and handles edge cases. We pair experienced engineers with the modeling team, judge generated code, and read debugging traces to provide actionable feedback.

Qualifications

• Strong day-job engineering experience — read, run, and debug unfamiliar code for C Programmer work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec, etc.).
• Clear written reasoning — your review note must 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 C Programmer assignments.
• Grade c engineering 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

C Programmer

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne is seeking a C Programmer reviewer to evaluate production code, debugging traces, and AI outputs in a remote setting. Reviewers reproduce failures, write the unit tests the model should have written, and explain fixes so the modeling team can target gaps.

Engineering model quality hinges on code that compiles, passes tests, and handles edge cases. We pair experienced engineers with the modeling team, judge generated code, and read debugging traces to provide actionable feedback.