Junior Software Engineer - AI Quality & Testing

AI Trainer Jobs; United States; Remote; USD 41,000 - 58,000; Part time

Job summary

AuraOne is seeking a Junior Software Engineer - AI Quality & Testing for a remote contractor track. You will review production code, reproduce failures, write minimal failing tests, and explain fixes to the modeling team.

The role emphasizes code quality, test coverage, edge-case handling, and ranking outputs. Strong ability to read and run unfamiliar code, and write concise tests, is essential for success.

Qualifications

• Experience with code review and debugging.
• Ability to write concise unit tests.
• Familiarity with testing frameworks (pytest, Jest, JUnit).
• Clear written reasoning to convince a senior engineer.
• Reliable async availability for at least 10 hours per week.
• Prior code-review or interview-grading experience is a plus.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment.
• Grade junior software engineer ai quality testing 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 judgment

AI QA testing

Quality engineering

Typescript

Video Generator

Tools

pytest

Jest

JUnit

Go test

RSpec

Job description

Junior Software Engineer - AI Quality & Testing is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards.

Category: Coding, SWE & Agent Evaluation, Pay: $30-$42 / hr, Location: Remote - US-eligible, Contractor

Junior Software Engineer - AI Quality & Testing is a remote engineering review track for evaluating production code, debugging traces, and developer-facing AI outputs against real-world correctness standards.

About the role

Junior Software Engineer - AI Quality & Testing 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 Junior Software Engineer - AI Quality & Testing assignments.
• Grade junior software engineer ai quality testing 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.

Role details

Track Code review & evaluation Work model Remote, Independent specialist contractor Compensation $30-$42 / hr Eligible from US

What you should bring

• Strong day-job engineering experience - you can read, run, and debug unfamiliar code for Junior Software Engineer - AI Quality & Testing 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

$30-$42 / hr

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
• Junior Software Engineer AI Quality Testing engineering review
• Quality Engineering
• Typescript
• Video Generator

Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

• - 01 Confirm profile and eligibility details.
• - 02 Attach this role deliberately.
• - 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.