Remote HTML/CSS Data Training Technical QA Lead - AI TrainerSuperAnnotate • Compton, California, US
Remote HTML / CSS Data Training Technical QA Lead - AI Trainer
SuperAnnotate • Compton, California, US
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[job_card.job_description]Academic / professional background : Bachelor’s or Master’s 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.
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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