{"html":"<p>In this hourly, remote contractor role, you will work as a PHP Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across PHP AI training projects. You will review AI-generated PHP code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards.</p>\n<p>You will assess work for code correctness, runtime behavior, framework awareness, debugging accuracy, readability, maintainability, performance, security, test coverage, formatting, instruction-following, and rubric adherence. This role requires strong PHP expertise, English communication skills, attention to detail, and the ability to manage quality workflows across remote technical teams.</p>\n<p>This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your PHP quality leadership will help ensure PHP training data is accurate, executable, secure, clearly explained, and aligned with client expectations.</p>\n<p>Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.</p>\n<p>Important:\nThere is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.</p>\n<h3>Responsibilities</h3><ul><li>Spot-check PHP items and provide ongoing feedback through DMs.</li><li>Review AI-generated PHP code, backend snippets, debugging responses, API examples, database logic, and tests.</li><li>Update trainers/QAs on Discord about guideline changes and PHP-specific quality standards.</li><li>Answer questions around PHP syntax, frameworks, runtime behavior, security, testing, and rubric interpretation.</li><li>Activate inactive contributors through DMs and follow-up tracking.</li><li>Create and maintain PHP documentation, style guides, examples, trackers, FAQs, honeypots, and onboarding materials.</li><li>Run onboarding/training calls for PHP trainers and QAs.</li><li>Flag insecure, outdated, misleading, or non-production-ready PHP recommendations.</li><li>Identify recurring quality gaps and improve QA processes.</li></ul><h3>Requirements</h3><ul><li>Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, or equivalent professional experience.</li><li>Strong grasp of English to follow guidelines and provide clear technical feedback.</li><li>3+ years of professional PHP development, backend engineering, code review, QA, mentoring, or related workflows.</li><li>Strong understanding of PHP 8+, OOP, namespaces, Composer, autoloading, arrays, exceptions, type declarations, sessions, HTTP, REST APIs, database access, and error handling.</li><li>Ability to evaluate PHP content and identify issues such as non-executable code, insecure SQL handling, weak validation, flawed logic, outdated syntax, hallucinated APIs, or incomplete explanations.</li><li>Familiarity with Laravel, Symfony, PHPUnit, Pest, MySQL/PostgreSQL, Redis, Docker, GitHub, CI/CD, static analysis tools, and PSR standards is preferred.</li><li>Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, or QAs is strongly preferred.</li><li>Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and PM systems.</li><li>Highly organized and able to maintain documentation, style guides, trackers, FAQs, calibration tasks, and honeypots.</li><li>Experience with AI training, LLM evaluation, code QA, or rubric-based review is a strong plus.</li></ul>"}