Remote Open Source Review Engineer: AI QA & Core Contributor

AuraOne Human Data; United States; Remote; USD 170,000 - 243,000; Full time

Job summary

AuraOne, Inc. is seeking an Open Source Maintainer / Core Contributor Software Engineer for AI Review. This remote role focuses on evaluating production code, debugging traces, and developer-facing AI outputs to ensure correctness.

You will reproduce failures, write tests, and explain fixes to guide the modeling team. Responsibilities include grading model outputs, writing minimal failing tests, and ranking solutions with a rubric-driven rationale.

Qualifications

• Strong day-job engineering experience and ability to read, run, and debug unfamiliar code.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (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 Open Source Maintainer / Core Contributor - Software Engineer (AI Review) assignments.
• Grade open source maintainer / core contributor software 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.

Skills

Code review

Debugging

Unit testing

Engineering judgment

Open Source Maintainer

Job description

AuraOne, Inc. is seeking an Open Source Maintainer / Core Contributor Software Engineer for AI Review. This remote role focuses on evaluating production code, debugging traces, and developer-facing AI outputs to ensure correctness.

You will reproduce failures, write tests, and explain fixes to guide the modeling team. Responsibilities include grading model outputs, writing minimal failing tests, and ranking solutions with a rubric-driven rationale.