HTML / CSS Data Training Technical QA Lead

Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for an HTML / CSS Technical Quality Assurance Lead to help ensure consistently high standards in our front-end–focused AI data training projects. This role combines the opportunity to work with modern web technologies with the responsibility of maintaining high-quality HTML / CSS content, making it a strong fit for people who are passionate about both technology and precision.

You will play a crucial role in guaranteeing the quality and consistency of front-end code and web-related training data, ultimately contributing to the success of our projects.

Key Responsibilities :

• Code quality review : Review HTML / CSS tasks and code submissions for correctness, semantic markup, responsiveness, readability, and alignment with project guidelines; provide clear and constructive feedback and escalate critical issues when needed.
• Front-end evaluation : Assess layout structure, CSS organization, component structure, and basic accessibility and performance considerations to ensure high-quality, realistic front-end examples.
• Communication : Keep trainers and QAs updated on Discord about new items, clarifications, or project changes, and respond to their questions in a timely and professional manner.
• Activation management : Monitor trainer / QA activity and proactively communicate with inactive contributors to understand blockers and encourage re-engagement.
• Documentation : Create, maintain, and improve documentation such as HTML / CSS style guides, component examples, review checklists, trackers, FAQs, honeypots, and related documents.
• Onboarding & training : Schedule, organize, and run onboarding and training calls with trainers / QAs to walk them through front-end quality standards, common issues, and review expectations.

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