Remote Python Code Reviewer & QA Engineer

AuraOne, Inc.

United States

Remote

USD 117,000 - 158,000

Part time

14 days+
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Job summary

AuraOne, Inc. seeks a Python SWE evaluator for a remote contractor track to review Python code, reproduce results, and write tests that reveal model gaps. You will explain fixes to help the modeling team target edge cases.

Responsibilities include running code in a sandbox, grading solutions for correctness and style, and documenting recurring failures with clear, rubric-based rationales.

Qualifications

  • Strong day-job Python experience — read, run, and debug unfamiliar Python code.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with a testing framework: pytest, Jest, or JUnit (Go test, RSpec, etc.).
  • Clear written reasoning to 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 Python code outputs in a sandboxed environment for Python SWE assignments.
  • Grade python 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 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

Python experience
Unit testing
Code review
Written reasoning
Async availability

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

AuraOne, Inc. seeks a Python SWE evaluator for a remote contractor track to review Python code, reproduce results, and write tests that reveal model gaps. You will explain fixes to help the modeling team target edge cases.

Responsibilities include running code in a sandbox, grading solutions for correctness and style, and documenting recurring failures with clear, rubric-based rationales.

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