PHP Quality Assurance Lead for AI Code Review

As a PHP Quality Assurance Lead, you will review AI-generated PHP code and trainer QA work for correctness, security, readability, maintainability, and compliance with project rubrics. You will also help improve the guidance and quality processes used in PHP-focused AI training projects.

• Review PHP code, backend snippets, debugging responses, API examples, database logic, and tests.
• Check correctness, runtime behavior, performance, security, test coverage, and instruction-following.
• Write clear feedback and answer questions about PHP syntax, frameworks, testing, and rubric interpretation.
• Maintain PHP documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
• Support onboarding and training for PHP trainers and QAs.
• Identify recurring quality gaps and help improve trainer and QA workflows.

What it pays and takes

This is remote contractor work for an intermediate-level contributor. The role focuses on PHP quality leadership across AI training projects, with an emphasis on feedback, documentation, and quality workflows.

• Pay: $70 per hour.
• Time: 20+ hours per week.
• Location: United States.
• Language: Strong English communication skills.
• Work type: Part-time contractor.
• Required: Strong PHP 8+ expertise, including OOP, namespaces, Composer, autoloading, exceptions, type declarations, sessions, HTTP, REST APIs, and database access.
• Required: Ability to find insecure SQL handling, weak validation, flawed logic, outdated syntax, hallucinated APIs, and incomplete explanations.
• Required: Experience with code review, QA, mentoring, or similar technical workflows.
• Preferred: Familiarity with Laravel, Symfony, PHPUnit, Pest, MySQL or PostgreSQL, Redis, Docker, GitHub, CI/CD, static analysis tools, and PSR standards.

How it works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI training work

AI training work uses human reviews and examples to help artificial intelligence produce better results. In this role, your PHP expertise helps assess whether AI-generated code is correct, secure, understandable, and useful.