Remote Code Review Engineer & AI Debugger

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

Job summary

AI Trainer Jobs is seeking a Support Engineer Expert for a remote contractor role in the United States. The reviewer will evaluate production code and AI outputs against real-world correctness standards, reproduce failures, and explain fixes to help the modeling team target gaps.

Responsibilities include running and reproducing candidate code, grading solutions for correctness, writing minimal failing tests, and ranking paired solutions with rationale.

Qualifications

• Must have day-to-day engineering experience reading, running, and debugging unfamiliar code.
• Ability to write concise unit tests capturing a single failure mode.
• Familiarity with a testing framework (pytest, Jest, or JUnit).
• Clear written reasoning to convince another senior engineer.
• Reliable async availability for at least 10 hours per week.
• Previous code-review or technical-interview-grading experience is a plus.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Support Engineer Expert assignments.
• Grade support engineer engineering review 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

Engineering experience

Unit tests

Testing framework

Written reasoning

Async availability

Code-review

Tools

pytest

Jest

JUnit

Job description

AI Trainer Jobs is seeking a Support Engineer Expert for a remote contractor role in the United States. The reviewer will evaluate production code and AI outputs against real-world correctness standards, reproduce failures, and explain fixes to help the modeling team target gaps.

Responsibilities include running and reproducing candidate code, grading solutions for correctness, writing minimal failing tests, and ranking paired solutions with rationale.