Remote Python Code Review Specialist for AI Model Quality

AuraOne; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

AuraOne is seeking a Python Developer for a remote engineering review track. You will evaluate Python code, debug traces, and AI outputs against real-world correctness standards.

You will reproduce failures, write the unit tests the model should have written, and explain fixes so the modeling team can target the gap. Responsibilities include running tests in a sandbox, grading solutions for correctness and edge cases, and documenting failures with mitigations.

Qualifications

• Strong day-job Python experience — you can read, run, and debug unfamiliar code.
• 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.

Responsibilities

• Run and reproduce Python code outputs in a sandboxed environment for Python Developer 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 (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

Python

Code review

Debugging

Unit testing

GraphQL

REST API

Software engineering judgment

Cursor

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne is seeking a Python Developer for a remote engineering review track. You will evaluate Python code, debug traces, and AI outputs against real-world correctness standards.

You will reproduce failures, write the unit tests the model should have written, and explain fixes so the modeling team can target the gap. Responsibilities include running tests in a sandbox, grading solutions for correctness and edge cases, and documenting failures with mitigations.