HTML/CSS Team Lead

About this role

In this hourly, remote contractor role, you will work as an HTML/CSS Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across HTML/CSS AI training projects. You will review AI-generated HTML/CSS code and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards. You will assess work for semantic correctness, visual layout logic, accessibility, responsive design, browser compatibility, CSS architecture, maintainability, performance, formatting, instruction-following, and adherence to project-specific rubrics. This role requires strong frontend markup and styling expertise, English communication skills, excellent attention to detail, and the ability to manage quality workflows across remote technical teams. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your HTML/CSS quality leadership will help ensure frontend training data is accurate, accessible, responsive, clearly explained, and aligned with client expectations. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

Eligible applicant countries

This role accepts applicants from:

• The United States

Skills & domains

• sme
• ai-training
• qa
• engineering