Remote Senior Engineer — Technical Review & QA Expert

AuraOne Human Data; United States; A distancia; USD 110.000 - 255.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Descripción de la vacante

AuraOne, Inc. is seeking a Principal Engineer / Professor — Technical Expert to remotely review production code, debug traces, and evaluate AI outputs against correctness standards. Reviewers reproduce failures, write minimal tests, and explain fixes so the modeling team can target gaps.

You will grade solutions for correctness, style, and edge-case handling, document recurring failures, and calibrate against gold-standard reviews to maintain high inter-rater reliability.

Formación

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Principal Engineer / Professor — Technical Expert 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.

Responsabilidades

• Run and reproduce candidate code outputs in a sandboxed environment for Principal Engineer / Professor — Technical Expert assignments.
• Grade principal engineer / professor technical 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.

Descripción del empleo

AuraOne, Inc. is seeking a Principal Engineer / Professor — Technical Expert to remotely review production code, debug traces, and evaluate AI outputs against correctness standards. Reviewers reproduce failures, write minimal tests, and explain fixes so the modeling team can target gaps.

You will grade solutions for correctness, style, and edge-case handling, document recurring failures, and calibrate against gold-standard reviews to maintain high inter-rater reliability.