Remote Code Review Engineer — AI/Model Debugging

AI Trainer Jobs

United States

Remote

USD 152,000 - 207,000

Full time

2 days ago
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Job summary

AI Trainer Jobs seeks a skilled reviewer for the Competitive Programmer track. This remote contractor role evaluates production code, debugging traces, and AI outputs for correctness, with a focus on reproducibility and high-quality tests. You will reproduce failures and explain fixes so the modeling team can target gaps.

Engineering model quality hinges on compiling code, passing tests, and handling edge cases. You will work with experienced engineers to grade outputs as a code reviewer would.

Qualifications

  • Strong day-job engineering experience and ability to read, run, and debug unfamiliar code.
  • Comfort writing concise unit tests that capture a single failure mode.
  • Familiarity with a testing framework (pytest, Jest, JUnit, Go test, RSpec, etc.).
  • Clear written reasoning 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 Competitive Programmer assignments.
  • Grade competitive programmer 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

Strong engineering experience
Unit tests
Testing frameworks
Clear written reasoning
Async availability
Code-review experience

Tools

pytest
Jest
JUnit
Go test
RSpec

Job description

AI Trainer Jobs seeks a skilled reviewer for the Competitive Programmer track. This remote contractor role evaluates production code, debugging traces, and AI outputs for correctness, with a focus on reproducibility and high-quality tests. You will reproduce failures and explain fixes so the modeling team can target gaps.

Engineering model quality hinges on compiling code, passing tests, and handling edge cases. You will work with experienced engineers to grade outputs as a code reviewer would.

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