Remote AI/ML Code Reviewer & QA Engineer

AuraOne, Inc.

United States

Remote

USD 83,000 - 165,000

Part time

14 days+
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Job summary

AuraOne, Inc. is seeking an AI/ML Engineer for the Internal Platforms team. This remote contractor role focuses on evaluating production code, debugging traces, and assessing AI outputs against real-world correctness standards.

You will reproduce failures, draft minimal failing tests, and explain fixes to help the modeling team close gaps. The role emphasizes clear reasoning, strong testing discipline, and the ability to work asynchronously for at least 10 hours per week, with experience in code

Qualifications

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

Responsibilities

  • Run and reproduce candidate code outputs in a sandboxed environment for Internal Platforms assignments.
  • Grade ML 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 high.

Skills

Code review
Debugging
Unit testing
Engineering judgment
ML engineering
AI model evaluation

Job description

AuraOne, Inc. is seeking an AI/ML Engineer for the Internal Platforms team. This remote contractor role focuses on evaluating production code, debugging traces, and assessing AI outputs against real-world correctness standards.

You will reproduce failures, draft minimal failing tests, and explain fixes to help the modeling team close gaps. The role emphasizes clear reasoning, strong testing discipline, and the ability to work asynchronously for at least 10 hours per week, with experience in code

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