AI/ML Code Reviewer — Internal Platforms (Remote)

AuraOne

United States

Remote

USD 148,000 - 210,000

Full time

3 days ago
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Job summary

AuraOne is seeking an AI/ML Engineer, Internal Platforms, for a remote contractor role focused on evaluating production code and AI outputs. You will reproduce code, grade solutions for correctness, and write concise tests to expose edge-case bugs.

This position requires strong debugging and test-writing skills, ability to reason clearly, and reliable availability for at least 10 hours per week. Eligible to work from the US remotely.

Qualifications

  • Strong day-job engineering experience — you can read, run, and debug unfamiliar code for AI/ML Engineer, Internal Platforms work.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with a testing framework like pytest, Jest, or JUnit.

Responsibilities

  • Run and reproduce candidate code outputs in a sandboxed environment for AI/ML Engineer, 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 above target.

Skills

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

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

AuraOne is seeking an AI/ML Engineer, Internal Platforms, for a remote contractor role focused on evaluating production code and AI outputs. You will reproduce code, grade solutions for correctness, and write concise tests to expose edge-case bugs.

This position requires strong debugging and test-writing skills, ability to reason clearly, and reliable availability for at least 10 hours per week. Eligible to work from the US remotely.

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