Remote Electrical Engineer Reviewer – AI Code Evaluation

AuraOne Human Data; United States; Remote; USD 102,000 - 146,000; Full time

Job summary

AuraOne, Inc. is seeking an Electrical Engineer Reviewer (AI Evaluation) for remote work in the United States. This contractor role focuses on evaluating production code, reproducing failures, and writing targeted unit tests to illustrate bugs in model outputs.

You will document findings and work with the modeling team to improve AI code generation quality. The role requires strong debugging skills, experience with testing frameworks, and clear, concise reasoning to justify reviewer notes.

Qualifications

• Strong day-job engineering experience reading, running, and debugging unfamiliar code for Electrical Engineer Reviewer (AI Evaluation) tasks.
• Comfort writing concise unit tests that capture a single failure mode.
• Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec or equivalent).
• Clear written reasoning so a senior engineer can be convinced by your review notes.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Electrical Engineer Reviewer (AI Evaluation) assignments.
• Grade electrical engineer 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.
• 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

Electrical Engineer engineering review

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

AuraOne, Inc. is seeking an Electrical Engineer Reviewer (AI Evaluation) for remote work in the United States. This contractor role focuses on evaluating production code, reproducing failures, and writing targeted unit tests to illustrate bugs in model outputs.

You will document findings and work with the modeling team to improve AI code generation quality. The role requires strong debugging skills, experience with testing frameworks, and clear, concise reasoning to justify reviewer notes.