Remote Full-Stack Reviewer: AI Outputs & Code Testing

AI Trainer Jobs

United States

Remote

USD 148,000 - 210,000

Part time

3 days ago
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Job summary

AI Trainer Jobs is seeking a Remote Full-stack Developer to evaluate production code, debugging traces, and AI outputs for correctness. You will reproduce failures, write unit tests, and explain fixes to help the modeling team target gaps.

As a contractor, you will review code in a sandbox, grade solutions for quality and edge cases, and document decisions with clear reasoning. Availability of 10 hours per week is expected.

Qualifications

  • Strong day-job engineering experience you can read, run, and debug unfamiliar code for Full-stack Developer work.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with a testing framework such as pytest, Jest, or JUnit; Go test or RSpec is fine.
  • 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 candidate code outputs in a sandboxed environment for Full-stack Developer assignments.
  • Grade full-stack engineering solutions for correctness, style, and edge-case handling.
  • Write the smallest failing test that demonstrates a model's bug.
  • Compare paired solutions and rank them with a rationale tied to the rubric.
  • Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.

Skills

Code review
Debugging
Unit testing
Software engineering judgment
Full-stack engineering
Software engineering

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

AI Trainer Jobs is seeking a Remote Full-stack Developer to evaluate production code, debugging traces, and AI outputs for correctness. You will reproduce failures, write unit tests, and explain fixes to help the modeling team target gaps.

As a contractor, you will review code in a sandbox, grade solutions for quality and edge cases, and document decisions with clear reasoning. Availability of 10 hours per week is expected.

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