HTML/CSS Data Training Technical QA Lead
SME Careers • Remote • Posted 8 days ago
Education
Any
Type
Pay Rate
$60/task
Posted
8d ago
ℹ️ Job Reference ID
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HTMLCSSQ-25-116 Role Overview
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 cru
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)
- Available to applicants in 40+ countries
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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View All SME Careers Jobs →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.