Remote Big Data Engineer - Code Review & QA Specialist

AI Trainer Jobs; United States; Remote; USD 83,000 - 165,000; Full time

Benefits offered by this job

Remote work

Hourly contract

US eligibility

Job summary

AI Trainer Jobs is seeking a remote Big Data Engineer reviewer to evaluate production code, debugging traces, and AI outputs against correctness standards. You will reproduce failures, write unit tests, and explain fixes so the modeling team can target gaps.

The role emphasizes code that compiles and handles edge cases. As a contractor, you’ll work independently, allocate about 10 hours weekly, and receive an hourly rate after interview.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Big Data Engineer work.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, or JUnit, Go test, RSpec) and standard tooling.

Responsibilities

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

Data engineering

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AI Trainer Jobs is seeking a remote Big Data Engineer reviewer to evaluate production code, debugging traces, and AI outputs against correctness standards. You will reproduce failures, write unit tests, and explain fixes so the modeling team can target gaps.

The role emphasizes code that compiles and handles edge cases. As a contractor, you’ll work independently, allocate about 10 hours weekly, and receive an hourly rate after interview.