Remote Code Review Engineer for AI & Production Code

AI Trainer Jobs; United States; Remote; USD 91,000 - 129,000; Part time

Job summary

AI Trainer Jobs is seeking a Reservoir Engineer for a remote, contractor-style engagement. The role focuses on evaluating production code, debugging traces, and AI outputs to ensure real-world correctness. You will reproduce failures, write unit tests, and explain fixes so the modeling team targets gaps.

Responsibilities include running code in sandbox, grading solutions for accuracy, and documenting edge cases. Availability of at least 10 hours per week is required.

Qualifications

• Strong day-job engineering experience with ability to read, run, and debug unfamiliar code.
• 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 sandbox to validate Reservoir Engineer assignments.
• Grade reservoir engineer solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate a bug the model output missed.
• 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

Engineering judgment

Reservoir Engineer

Energy

Tools

pytest

Jest

JUnit

Job description

AI Trainer Jobs is seeking a Reservoir Engineer for a remote, contractor-style engagement. The role focuses on evaluating production code, debugging traces, and AI outputs to ensure real-world correctness. You will reproduce failures, write unit tests, and explain fixes so the modeling team targets gaps.

Responsibilities include running code in sandbox, grading solutions for accuracy, and documenting edge cases. Availability of at least 10 hours per week is required.