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-endfocused 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. Your Profile: Academic / professional background: Bachelors or Masters degree in Computer Science, Web Development, or a related field. Front-end experience: At least 5+ years of experience in HTML/CSS, building and maintaining real-world user interfaces or web pages. JavaScript & frameworks: Experience with JavaScript, CSS, and front-end frameworks/libraries such as React, Vue, or Angular. Front-end best practices: Strong understanding of semantic HTML, responsive design, CSS structuring, and basic accessibility and performance considerations. English proficiency: Minimum C1 English for documentation, async communication, and collaboration with a global team. Analytical excellence: Strong analytical skills and the ability to review complex code and tasks systematically. Attention to detail: Commitment to precision and thoroughness in the training and review process; ability to produce high-quality work with no supervision. Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.
