Remote Infrastructure Review Engineer for Code & AI Outputs

AuraOne

United States

On-site

USD 82,656 - 137,760

Full time

14 days+
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Job summary

AuraOne is seeking an Infrastructure Engineer contractor to remotely evaluate production code, reproduce failures, and assess AI outputs against correctness standards. You will write minimal failing tests and provide clear rationales to guide the modeling team.

Ideal candidates read, run, and debug unfamiliar code, craft concise unit tests, and demonstrate strong written reasoning with experience in pytest/Jest/JUnit/Go test/RSpec or equivalent.

Qualifications

  • Strong day-job engineering experience—able to read, run, and debug unfamiliar code for infrastructure engineer work.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with at least one testing framework: pytest, Jest, JUnit, Go test, or RSpec.
  • Clear written reasoning so your review notes 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 Infrastructure Engineer assignments.
  • Grade infrastructure engineer engineering review solutions for correctness, complexity, idiomatic style, and edge-case handling.
  • Write minimal failing tests that demonstrate a 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
Infrastructure Engineer engineering re

Job description

AuraOne is seeking an Infrastructure Engineer contractor to remotely evaluate production code, reproduce failures, and assess AI outputs against correctness standards. You will write minimal failing tests and provide clear rationales to guide the modeling team.

Ideal candidates read, run, and debug unfamiliar code, craft concise unit tests, and demonstrate strong written reasoning with experience in pytest/Jest/JUnit/Go test/RSpec or equivalent.

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