Remote Python Game Code Reviewer (Panda3D)

AI Trainer Jobs; United States; Remote; USD 153,000 - 205,000; Full time

Job summary

AuraOne is seeking a Junior Python Game Developer (Panda3D) for a remote engineering review track. You will evaluate Python code, reproduce failures, and write tests to guide model improvements. The role emphasizes code correctness, test coverage, and clear rationale for engineers overseeing AI outputs.

Remote, contractor engagement with hourly compensation, and US eligibility. Collaboration with senior engineers and documentation of edge-case handling are key success factors.

Qualifications

• Strong day-job Python experience — you can read, run, and debug unfamiliar code for Junior Python Game Developer (Panda3D) 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.

Responsibilities

• Run and reproduce Python code outputs in a sandboxed environment for Junior Python Game Developer (Panda3D) 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.

Skills

Python

Unit testing

Code review

Testing frameworks

Debugging

Communication

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne is seeking a Junior Python Game Developer (Panda3D) for a remote engineering review track. You will evaluate Python code, reproduce failures, and write tests to guide model improvements. The role emphasizes code correctness, test coverage, and clear rationale for engineers overseeing AI outputs.

Remote, contractor engagement with hourly compensation, and US eligibility. Collaboration with senior engineers and documentation of edge-case handling are key success factors.