PHP QA Lead - Remote

About the role

This is a remote contractor role as a PHP Quality Assurance Lead overseeing quality, consistency, and trainer performance across PHP AI training projects.

Responsibilities

• Review AI-generated PHP code and trainer/QA work, evaluating output quality against project guidelines.
• Provide precise written feedback and ensure contributors follow expected quality standards.
• Evaluate work for code correctness, runtime behavior, framework awareness, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction-following, and rubric adherence.
• Spot-check PHP items and provide ongoing feedback through DMs.
• Answer questions around PHP syntax, frameworks, runtime behavior, security, testing, and rubric interpretation.
• Activate inactive contributors through DMs and follow-up tracking.
• Create and maintain PHP documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.
• Run onboarding/training calls for PHP trainers and QAs.
• Flag insecure, outdated, misleading, or non-production-ready PHP recommendations.
• Identify recurring quality gaps and improve QA processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional experience.
• Strong grasp of English to follow guidelines and provide clear technical feedback.
• 3+ years of professional PHP development, backend engineering, code review, QA, mentoring, or related workflows.
• Strong understanding of PHP 8+, OOP, namespaces, Composer, autoloading, arrays, exceptions, type declarations, sessions, HTTP, REST APIs, database access, and error handling.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, or QAs is strongly preferred.
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.
• Highly organized and able to maintain documentation, style guides, trackers, FAQs, calibration tasks, and honeypots.
• Experience with AI training, LLM evaluation, code QA, or rubric-based review is a strong plus.