Remote Code Reviewer (Python/JS/Go) & Unit Tests

AI Trainer Jobs

United States

Remote

USD 96,000 - 110,000

Part time

2 days ago
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Job summary

AI Trainer Jobs is seeking a Software Engineer (Python, JavaScript/TypeScript, Go) for a remote engineering review track. You will evaluate Python code, debug traces, and AI outputs against real-world correctness standards, reproducing failures and writing unit tests to guide model improvements.

Role is remote, US-eligible, contractor-based, with a pay rate of $70–$80 per hour. You will read traces, judge solutions, and explain fixes so the modeling team can target gaps efficiently.

Qualifications

  • Strong day-job Python experience; read, run, and debug unfamiliar code for Software Engineer tasks.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with a testing framework (pytest, Jest, JUnit; Go test, 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 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.

Skills

Python
Go
JavaScript/TypeScript
Unit testing
Code review
Debugging
CI/CD

Tools

pytest
Jest
JUnit
Go test

Job description

AI Trainer Jobs is seeking a Software Engineer (Python, JavaScript/TypeScript, Go) for a remote engineering review track. You will evaluate Python code, debug traces, and AI outputs against real-world correctness standards, reproducing failures and writing unit tests to guide model improvements.

Role is remote, US-eligible, contractor-based, with a pay rate of $70–$80 per hour. You will read traces, judge solutions, and explain fixes so the modeling team can target gaps efficiently.

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