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HTML/CSS Data Training Technical QA Lead - The United States

SME Careers The United States Posted 28 days ago

Education

Any

Type

Pay Rate

$60/task

Posted

28d ago

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HTMLCSSQ-25-116

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About this Role

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.

### Your Profile
- 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.

### 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.

Requirements

  • Advanced degree or strong hands-on professional experience in the domain
  • Ability to pass domain-specific qualification assessments
  • Eligible to create a verified account on Deel (for payments/compliance)
  • Proficiency in English (for instructions and feedback)
  • Must be located in one of the 40+ supported countries (e.g., The United States)

Compensation Analysis

Don't just label data—build a career. SME Careers is unique in the AI training space because it offers a transparent growth ladder. High performers aren't just kept in the queue; they are promoted to Quality Analysts and Project Managers. With weekly transparent payments via Deel and the freedom to work on your own schedule, this is built for modern experts who want long-term engagement.

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Frequently Asked Questions

Is there room for advancement?

Yes. This is a key feature of the platform. They explicitly list a career path: Data Trainer -> Quality Analyst -> QA Lead -> Project Manager. Consistent high-quality work can lead to leadership roles.

How do payments work?

Payments are processed weekly through Deel. This ensures tax compliance and allows them to hire freelancers from over 40 countries securely.

Is the work ongoing or project-based?

Work is project-based, which means assignments can vary in duration and availability. However, top performers often get priority access to new projects.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, a leading AI data infrastructure platform. They connect domain experts with high-level AI training projects.