Remote Code Review Engineer for AI Model QA

AI Trainer Jobs

United States

Remote

USD 152,000 - 207,000

Part time

2 days ago
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Job summary

CFD Engineer is a remote engineering review track for 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 model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases.

Qualifications

  • Strong day-job engineering experience — you can read, run, and debug unfamiliar code for CFD 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, or whatever you use.
  • 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 CFD Engineer assignments.
  • Grade cfd 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.
  • Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity scores.

Skills

Code review
Debugging
Unit testing
Software engineering judgment
CFD Engineer engineering review

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

CFD Engineer is a remote engineering review track for 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 model quality lives or dies on whether the generated code actually compiles, passes tests, and handles edge cases.

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