Remote Data Engineering Code Reviewer

AuraOne; United States; On-site; USD 193,000 - 276,000; Full time

Job summary

AuraOne, collaborating with UK-Based Data Engineering Experts, offers a remote contractor role to evaluate production code, debug traces, and assess developer-facing AI outputs for correctness. Reviewers reproduce failures, write the unit tests the model should have written, and explain fixes so the team can address gaps.

Responsibilities include running and reproducing candidate code in sandboxes, grading solutions for correctness and edge cases, and documenting recurring failures to guide

Qualifications

• Proven experience reading, running and debugging unfamiliar code.
• Experience with unit tests that expose a single failure mode.
• Familiarity with a testing framework (pytest/Jest/JUnit, etc.).
• Clear written reasoning to convince senior engineers.
• Async availability for at least 10 hours per week.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for 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.
• Document recurring code-generation failures so the modeling team can target them.
• Calibrate against gold-standard reviews to keep inter-rater agreement above target.

Skills

Code review

Debugging

Unit testing

Software engineering judgment

Data engineering

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne, collaborating with UK-Based Data Engineering Experts, offers a remote contractor role to evaluate production code, debug traces, and assess developer-facing AI outputs for correctness. Reviewers reproduce failures, write the unit tests the model should have written, and explain fixes so the team can address gaps.

Responsibilities include running and reproducing candidate code in sandboxes, grading solutions for correctness and edge cases, and documenting recurring failures to guide