HTML/CSS Quality Assurance Lead

You will review AI-generated HTML/CSS code and trainer QA work for correctness, accessibility, maintainability, and adherence to project rubrics. You will also help contributors improve their work through clear technical feedback.

The role includes quality monitoring, contributor communication, documentation updates, onboarding support, and process improvement across HTML/CSS AI training projects.

• Review HTML/CSS snippets, layout implementations, accessibility fixes, debugging responses, and written explanations.
• Check semantic correctness, accessibility, responsive design, browser compatibility, CSS architecture, maintainability, and rubric adherence.
• Monitor quality, identify recurring issues, and escalate critical or repeated problems.
• Communicate guideline changes and workflow updates to contributors.
• Maintain style guides, FAQs, examples, honeypots, calibration tasks, trackers, and onboarding materials.
• Support onboarding and training calls for HTML/CSS contributors.
• Flag inaccessible, misleading, invalid, brittle, or non-production-ready frontend recommendations.
• Help identify recurring quality gaps and build scalable QA processes.

What It Pays and Takes

This is a remote, part-time contractor role for candidates in the United States. The work requires strong HTML/CSS knowledge, clear technical communication, and the ability to review frontend work against detailed rubrics.

• $80 per hour.
• 20+ hours per week.
• Remote work open to candidates in the United States.
• Professional fluency in English.
• Strong HTML and CSS expertise, including semantic markup, forms, tables, ARIA basics, responsive layouts, flexbox, grid, specificity, and the CSS cascade.
• Experience reviewing frontend code or QA output against detailed rubrics.
• Familiarity with browser DevTools, Lighthouse, WCAG basics, GitHub, and related frontend workflows is preferred.
• Experience leading or supporting remote teams of reviewers, trainers, or frontend contributors is strongly preferred.
• Helpful experience includes AI training, data annotation, LLM evaluation, frontend code QA, accessibility review, or rubric-based code review.
• Familiarity with design systems, Figma handoff, CSS modules, Tailwind CSS, Bootstrap, Sass, CI/CD, and frontend build tools is helpful.

How It Works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI Training Work

AI training work uses human review and feedback to help computer systems produce better results. People with strong technical skills are needed to assess examples accurately, explain problems clearly, and improve the standards used to train and evaluate AI.