Remote Nuclear Security Code Reviewer & Debug Tester

AI Trainer Jobs

United States

Remote

USD 90,000 - 103,000

Full time

2 days ago
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Job summary

AI Trainer Jobs is seeking a Nuclear Security Engineer for a remote contractor track focused on evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

Engineering quality relies on compiling code, passing tests, and handling edge cases.

Qualifications

  • Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Nuclear Security 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, etc.
  • Clear written reasoning — your review note has to convince another senior engineer.
  • Reliable async availability for at least 10 hours per week.
  • Prior code-review or technical-interview-grading experience is a plus.

Responsibilities

  • Run and reproduce candidate code outputs in a sandboxed environment for Nuclear Security Engineer assignments.
  • Grade nuclear security engineer engineering 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.

Skills

Code review
Debugging
Unit testing
Software engineering judgment
Nuclear Security Engineer review

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

AI Trainer Jobs is seeking a Nuclear Security Engineer for a remote contractor track focused on evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards. Reviewers reproduce failures, write the unit test the model should have written, and explain the fix so the modeling team can target the gap.

Engineering quality relies on compiling code, passing tests, and handling edge cases.

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