HTML/CSS Team Lead

AI Trainer Jobs; United States; Remote; USD 66,000 - 110,000; Part time

Job summary

SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, invites an HTML/CSS Quality Assurance Lead to oversee quality across training projects. The role is remote, contractor-based, with a pay rate up to $80/hour, and requires strong frontend markup, accessibility expertise, and English communication.

You will review AI-generated HTML/CSS, provide precise feedback, and guide remote teams to adhere to project rubrics and quality standards.

Qualifications

• 3+ years in HTML/CSS, frontend development, or QA.
• Strong knowledge of semantic HTML, ARIA, responsive design.
• Experience leading or supporting remote teams.
• Ability to evaluate HTML/CSS against detailed rubrics and identify issues.
• Excellent English communication and feedback skills.

Responsibilities

• Quality monitoring: Spot-check HTML/CSS items, provide feedback, escalate issues.
• Code review: Evaluate AI-generated HTML/CSS snippets and layouts, fix accessibility and responsiveness.
• Trainer/QA communication: Update contributors on guidelines and review standards.
• Question handling: Address semantic HTML, accessibility, ARIA, CSS specificity, and rubric interpretations.
• Trainer/QA activation management: DM inactive contributors and track follow-ups.
• Documentation: Create HTML/CSS style guides, trackers, FAQs, onboarding materials.
• Onboarding and training: Run onboarding calls for HTML/CSS contributors.
• Risk and accessibility review: Flag issues and ensure production-readiness.
• Process improvement: Identify gaps and build scalable QA processes.

Skills

Frontend QA

HTML

CSS

Code review

Accessibility

Discord

English

QA mentoring

Education

Bachelor’s or Master’s degree in CS/IT

Tools

DevTools

Lighthouse

WCAG basics

Sass

Tailwind CSS

Bootstrap

GitHub

Job description

Pay: up to $80/hour

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.

Responsibilities

• Quality monitoring: Spot-check HTML/CSS items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
• Code review: Evaluate AI-generated HTML/CSS snippets, layout implementations, accessibility fixes, responsive design solutions, debugging responses, and explanations for correctness and clarity.
• Trainer and QA communication: Update contributors on Discord about guideline changes, workflow updates, and HTML/CSS-specific review standards.
• Question handling: Respond to questions around semantic HTML, accessibility, ARIA, CSS specificity, layout behavior, flexbox/grid, responsive design, browser compatibility, and rubric interpretation.
• Trainer/QA activation management: DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Documentation: Create and maintain HTML/CSS style guides, trackers, FAQs, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Run onboarding/training calls for HTML/CSS contributors.
• Risk and accessibility review: Flag inaccessible, misleading, invalid, brittle, or non-production-ready frontend recommendations.
• Process improvement: Identify recurring quality gaps and build scalable QA processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Web Development, UX/UI, Information Technology, or equivalent professional frontend development experience.
• Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback.
• 3+ years of professional experience in HTML/CSS, frontend development, web accessibility, responsive design, UI implementation, code review, QA, or technical mentoring.
• Strong understanding of semantic HTML, forms, tables, ARIA basics, accessibility, CSS selectors, cascade/specificity, box model, flexbox, grid, positioning, responsive layouts, media queries, animations, and modern CSS features.
• Ability to evaluate HTML/CSS content against detailed rubrics and identify issues such as invalid markup, inaccessible components, poor responsiveness, layout bugs, overcomplicated CSS, specificity problems, browser compatibility issues, or incomplete explanations.
• Familiarity with tools and workflows such as browser DevTools, Lighthouse, WCAG basics, Sass, Tailwind CSS, Bootstrap, CSS modules, design systems, Figma handoff, GitHub, CI/CD, and frontend build tools is preferred.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, frontend engineers, designers, coding mentors, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using Discord, Google Sheets, Google Docs, trackers, dashboards, GitHub, and project management systems.
• Highly organized and able to maintain style guides, trackers, FAQs, onboarding materials, honeypots, calibration tasks, and quality documentation.
• Experience with AI training, data annotation, LLM evaluation, frontend code QA, accessibility review, or rubric-based code review is a strong plus.

Skills: Frontend QA, HTML, Trainer Feedback, AI Training, Web Standards, Responsive Design, Accessibility, Code review, LLM evaluation, CSS

Open to candidates in: The United States

Interview language: English