Open Source Maintainer / Core Contributor — AI Code Evaluation

AuraOne, Inc.; United States; Remote; USD 170,000 - 243,000; Full time

Job summary

AuraOne, Inc. is seeking an Open Source Maintainer / Core Contributor for AI Code Evaluation. This remote, US-eligible contractor role involves reproducing candidate code, writing minimal failing tests, and explaining fixes to help the modeling team target gaps.

You will grade solutions for correctness and style, document recurring failures, and calibrate reviews to keep inter-rater agreement high. Strong testing and code-review experience are essential, with at least 10 hours weekly

Qualifications

• Strong day-job engineering experience with 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, or JUnit).
• Clear written reasoning to convince another senior engineer.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Run and reproduce candidate code in a sandboxed environment for AI Code Evaluation tasks.
• Grade open-source maintainer solutions for correctness, style, and edge-case handling.
• Write minimal failing tests that demonstrate the bug the model output missed.
• Compare paired solutions and provide a rationale tied to the rubric.
• Tag failure modes (compile error, runtime crash, off-by-one, security issue) with severity.
• Document recurring code-generation failures to guide improvements.

Skills

Code review

Debugging

Unit testing

Open source maintainer

Software engineering judgment

Tools

pytest

Jest

JUnit

Job description

Open Source Maintainer / Core Contributor — AI Code Evaluation 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.

Why this role matters

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.

Responsibilities

• Run and reproduce candidate code outputs in a sandboxed environment for Open Source Maintainer / Core Contributor — AI Code Evaluation assignments.
• Grade open source maintainer / core contributor software 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.
• Document recurring code-generation failures so the modeling team can target them.
• Calibrate against gold-standard reviews to keep inter-rater agreement above target.

Qualifications

• Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Open Source Maintainer / Core Contributor — AI Code Evaluation 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.

Nice to have

• 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.

Skills

• Code review
• Debugging
• Unit testing
• Software engineering judgment
• Open Source Maintainer / Core Contributor Software Engineer engineering review

Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

$150 / hr

Application process

Apply through AuraOne's specialist intake for role-specific routing and review. Final project scope, schedule, and contractor terms are confirmed before placement.

Strong day-job engineering experience — you can read, run, and debug unfamiliar code for Open Source Maintainer / Core Contributor — AI Code Evaluation 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.