The work
You will lead quality reviews of AI-generated HTML/CSS code and work produced by frontend contributors. Your reviews will check correctness, accessibility, responsive behavior, browser support, maintainability, and compliance with project rubrics.
You will also help contributors improve through clear technical feedback, updated guidance, onboarding support, and process improvements.
- Review HTML/CSS snippets, layouts, accessibility fixes, debugging answers, and written explanations.
- Check semantic HTML, accessible patterns, responsive layouts, CSS structure, and browser compatibility.
- Monitor quality, identify recurring issues, and escalate serious or repeated problems.
- Share guideline and workflow updates with contributors.
- Maintain style guides, FAQs, examples, 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 develop scalable quality assurance processes for HTML/CSS training projects.
What it pays and takes
This is a remote, part-time contractor role for candidates in the United States. The experience level is intermediate, and the work requires at least 20 hours each week.
- Pay: $80 per hour.
- Location: United States; remote work.
- Schedule: 20+ hours per week.
- Work type: Part-time contractor role.
- Strong HTML and CSS skills, including semantic markup, forms, tables, ARIA basics, responsive layouts, flexbox, grid, specificity, and the CSS cascade.
- Experience reviewing frontend code or quality assurance work against detailed rubrics.
- Clear written English communication and confidence giving technical feedback.
- Preferred: browser DevTools, Lighthouse, WCAG basics, GitHub, and related frontend workflows.
- Strongly preferred: experience leading or supporting remote teams of reviewers, trainers, or frontend contributors.
- Helpful: experience with AI training, data annotation, LLM evaluation, frontend code quality assurance, accessibility review, or rubric-based code review.
- Helpful: familiarity with design systems, Figma handoff, CSS modules, Tailwind CSS, Bootstrap, Sass, CI/CD, and frontend build tools.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work is the human work behind AI systems. People review examples, rate model outputs, check code, and give precise feedback so models learn to produce more accurate and useful results. Experienced specialists are paid for applying their subject knowledge and judgment to this work.