Remote Data QA Engineer — Code & Model Review

AuraOne; United States; À distance; USD 55 000 - 96 000; Temps partiel

Résumé du poste

AI Trainer Jobs is seeking a Data QA Engineer for a remote contractor role focused on evaluating production code, debugging traces, and model outputs against correctness standards. You will reproduce failures, write minimal failing tests, and document fixes for the modeling team, emphasizing testability, edge cases, and clear rationale.

Candidates should have experience reading and running unfamiliar code, familiarity with pytest/Jest/JUnit, and reliable availability for at least 10 hours per

Qualifications

• Strong day-job engineering experience with ability to read, run, and debug unfamiliar code.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit).
• Clear written reasoning to convince senior engineers.
• Reliable async availability for at least 10 hours per week.
• Prior code-review or technical-interview-grading experience is a plus.

Responsabilités

• Run and reproduce candidate code outputs in a sandboxed environment for Data QA Engineer assignments.
• Grade data qa 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.

Connaissances

Code review

Debugging

Unit testing

Outils

pytest

Jest

JUnit

Description du poste

AI Trainer Jobs is seeking a Data QA Engineer for a remote contractor role focused on evaluating production code, debugging traces, and model outputs against correctness standards. You will reproduce failures, write minimal failing tests, and document fixes for the modeling team, emphasizing testability, edge cases, and clear rationale.

Candidates should have experience reading and running unfamiliar code, familiarity with pytest/Jest/JUnit, and reliable availability for at least 10 hours per