Remote AI Engineer - Code Review & Testing Expert

AI Trainer Jobs; United States; Remote; USD 69,000 - 165,000; Part time

Job summary

AI Trainer Jobs is seeking an AI Engineer for a remote engineering review track to evaluate production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

Responsibilities include running and reproducing candidate code in a sandboxed environment, grading AI engineering solutions for correctness and edge cases,

Qualifications

• Strong day-job engineering experience.
• Comfort writing concise unit tests.
• Familiarity with a testing framework.
• Clear written reasoning.
• 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 AI Engineer assignments.
• Grade ai 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

Code review

Debugging

Unit testing

Software engineering judgment

AI engineering

C#

C++

GoLang

Java

.NET

PHP

Python

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AI Trainer Jobs is seeking an AI Engineer for a remote engineering review track to evaluate production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

Responsibilities include running and reproducing candidate code in a sandboxed environment, grading AI engineering solutions for correctness and edge cases,