Fullstack Developer (React/Node.js) - US

AI Trainer Jobs; United States; Remote; USD 148,000 - 210,000; Full time

Job summary

AuraOne seeks a remote Fullstack Developer reviewer to evaluate React/Node.js outputs, reproduce failures, and write tests that capture edge cases. You will judge correctness, style, and coverage, providing a clear rationale for rankings.

The role focuses on producing reliable, verifiable feedback for model-powered engineering tasks. Ideal candidates have strong debugging skills, knowledge of testing frameworks (pytest, Jest, JUnit, etc.), and a proven ability to write concise review notes for

Qualifications

• Experience reading, running, and debugging unfamiliar code.
• Ability to write concise unit tests for a single failure mode.
• Familiarity with common testing frameworks from the stack in use.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment.
• Grade full-stack solutions for correctness, style, and edge cases.
• Write the smallest failing test demonstrating a bug.
• Compare paired solutions with a rubric-based rationale.

Skills

Full-stack engineering

Code review

Debugging

Unit testing

Testing frameworks

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

Fullstack Developer (React/Node.js) - US 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.

Category: Coding, SWE & Agent Evaluation · Pay: $130 / hr · Location: Remote — US-eligible · Contractor

Role details

About the role

Fullstack Developer (React/Node.js) - US 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. AuraOne pairs experienced engineers with the modeling team to grade outputs the way a code reviewer would.
Judge generated code and software engineering agents. Read their debugging traces.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Fullstack Developer (React/Node.js) - US assignments.
• Grade full-stack 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.

What you should bring

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Fullstack Developer (React/Node.js) - US 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.

Example tasks

• Reproduce a generated engineering solution to a coding task, run the test suite, and grade it.
• Write the smallest failing test that demonstrates a model's edge-case bug.
• Compare two paired solutions and rank them with a written rationale tied to the rubric.
• Triage a security issue surfaced by a model and document the patch the model should have produced.

Useful experience

• Open-source contributions or a public portfolio that demonstrates production-quality code.
• Experience with the target language's standard tooling, linters, and idiomatic style guides.
• Familiarity with security-review checklists (OWASP, CWE) and AppSec patterns.

Compensation and schedule

Hourly rate confirmed after the interview process.
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

• Code review
• Debugging
• Unit testing
• Software engineering judgment
• Full-stack engineering
• Software engineering