Remote Fullstack Engineer - Gen AI Review & QA

AI Trainer Jobs; United States; Remote; USD 165,000 - 193,000; Part time

Job summary

AI Trainer Jobs in the United States is seeking a Remote Fullstack Engineer-GEN AI reviewer to evaluate production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. You will reproduce failures, write the unit tests the model should have written, and explain the fix so the modeling team can target the gap.

Engineering model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases.

Qualifications

• Strong day-job engineering experience reading and debugging unfamiliar code.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, or JUnit).
• Clear written reasoning — your review note has to convince another senior engineer.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Fullstack Engineer-GEN AI assignments.
• Grade full-stack 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 judgement

Full-stack engineering

AI model evaluation

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AI Trainer Jobs in the United States is seeking a Remote Fullstack Engineer-GEN AI reviewer to evaluate production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. You will reproduce failures, write the unit tests the model should have written, and explain the fix so the modeling team can target the gap.

Engineering model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases.