Remote QA leadership opportunity for experienced frontend professionals to review AI-generated HTML/CSS code, validate accessibility and responsive design quality, maintain standards, and improve training data used by leading AI systems. Apply URL: https://sme.careers/apply?referral=0fb04e64abb7&jobid=HTMLandCSSQAL-26-155
PHP Quality Assurance Lead (QAL)
Job description
Job Summary
As a PHP Quality Assurance Lead (QAL), you will oversee quality, consistency, and contributor performance across PHP-focused AI training projects.
This role involves reviewing AI-generated PHP code, evaluating trainer and QA outputs, maintaining quality standards, and ensuring training data aligns with project requirements and client expectations.
Your work will directly contribute to improving advanced AI systems by ensuring PHP training content is technically accurate, secure, maintainable, executable, and clearly explained.
Key Responsibilities
Quality Monitoring
- Spot-check PHP-related tasks and QA outputs
- Identify recurring quality issues and performance gaps
- Provide actionable written feedback and escalate critical concerns
Code Review
Review and evaluate:
- PHP applications
- Backend code snippets
- API implementations
- Database interactions
- Debugging responses
- Unit tests
Assess work for:
- Correctness
- Security
- Maintainability
- Performance
- Framework best practices
Trainer & QA Communication
- Communicate updates related to:
- Guidelines
- Quality standards
- Workflow changes
- PHP-specific review expectations
Contributor Support
- Answer questions involving:
- PHP syntax
- Framework behavior
- Runtime issues
- Security concerns
- Testing methodologies
- Rubric interpretation
Activation Management
- Follow up with inactive contributors
- Track engagement and participation
- Report contributor availability concerns
Documentation & Onboarding
Create and maintain:
- Style guides
- FAQs
- Documentation
- Examples
- Calibration tasks
- Onboarding materials
Conduct onboarding and training sessions for trainers and reviewers
Security & Quality Review
- Identify and flag:
- Insecure code
- SQL injection risks
- Weak validation
- Outdated PHP practices
- Misleading recommendations
- Non-production-ready solutions
Process Improvement
- Improve QA workflows and review processes
- Identify recurring quality gaps and implement corrective measures
Required Qualifications
- Bachelor's or Master's degree in:
- Computer Science
- Software Engineering
- Information Technology
or equivalent professional experience.
Strong English communication skills
Minimum 3 years of experience in:
- PHP development
- Backend engineering
- Code review
- QA
- Technical mentoring
Strong knowledge of:
- PHP 8+
- Object-Oriented Programming
- Namespaces
- Composer
- Autoloading
- Arrays
- Exceptions
- Type declarations
- Sessions
- HTTP
- REST APIs
- Database access
- Error handling
Ability to identify:
- Non-executable code
- Insecure SQL handling
- Weak validation
- Flawed business logic
- Hallucinated APIs
- Incomplete explanations
Preferred Qualifications
Experience with:
- Laravel
- Symfony
- PHPUnit
- Pest
- MySQL
- PostgreSQL
- Redis
- Docker
- GitHub
- CI/CD systems
Familiarity with:
- Static analysis tools
- PSR standards
- Modern backend architecture
Experience leading:
- Reviewers
- Trainers
- QA teams
- Remote engineering teams
Experience with:
- AI training
- LLM evaluation
- Code QA
- Rubric-based review systems
Why Join
- Help improve leading AI systems through technical quality assurance
- Flexible remote schedule
- Weekly payments
- Referral rewards and community incentives
- Access to future opportunities through SME Careers' expert network
Selection Process
- AI Interview
- Domain-Specific Assessment
- Recruiter Interview
Important Note
There is currently no active project for this role. Qualified candidates will be added to the expert network and contacted when relevant opportunities become available.
You will be redirected to the company's website to complete your application.