Remote Software Review Engineer: Code Quality & Testing

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

Job summary

AuraOne is seeking a Software Engineering Expert for a remote, contractor track to evaluate production code and developer-facing AI outputs against correctness standards. You will reproduce failures, write the unit tests the model should have written, and explain fixes so the modeling team can address gaps.

You will grade solutions for correctness, complexity, idiomatic style, and edge-case handling, tag failure modes with severity, and document recurring issues to improve future reviews.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Software Engineering Expert 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.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Software Engineering Expert assignments.
• Grade software engineering 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

Software Engineering engineering

Job description

AuraOne is seeking a Software Engineering Expert for a remote, contractor track to evaluate production code and developer-facing AI outputs against correctness standards. You will reproduce failures, write the unit tests the model should have written, and explain fixes so the modeling team can address gaps.

You will grade solutions for correctness, complexity, idiomatic style, and edge-case handling, tag failure modes with severity, and document recurring issues to improve future reviews.