Web Accessibility-Focused Frontend Engineer

We are building a domain-specific Large Language Model (LLM) with deep understanding of Frontend Web Development and Web Accessibility (WCAG, ARIA, etc.). To support this, we are hiring a Web Accessibility Expert who can create high-quality training content in the form of structured prompt-response pairs, code examples, explanations, and annotation guidelines.

This is not a typical engineering role. Instead, you will act as a Subject Matter Expert (SME) and content creator, producing the material that will train an LLM how to think and respond like an expert in your domain. Your output will directly shape how the AI understands accessibility, user experience, and inclusive interface design.

Responsibilities

• Write short- and long-form answers, including code snippets, to simulate expert-level LLM responses.
• Provide annotated examples of accessible and inaccessible web components, explaining reasoning and impact.
• Define edge cases, common pitfalls, and best practices for HTML, CSS, JavaScript, and ARIA usage.
• Collaborate with engineering teams and QA reviewers to ensure consistency and alignment with LLM goals.
• Help design synthetic data tasks to simulate accessibility audits, design reviews, or bug explanations.

Required Skills & Qualifications

• 5+ years experience in frontend development with deep expertise in web accessibility (WCAG 2.1+, ARIA, assistive tech support).
• Strong ability to explain technical concepts clearly, as if teaching a junior developer or AI model.
• Knowledge of accessibility tools and testing: axe-core, Lighthouse, screen readers (NVDA, VoiceOver, etc.).
• Fluent written English, Ukrainian and Russian languages is a MUST; ability to write clear, accurate, and structured technical content.
• Proven experience implementing accessible UI components using vanilla JS
  

Nice to Have

• Experience writing educational materials, documentation, or blog posts on web accessibility.
• Past involvement in AI/ML, prompt engineering, or data annotation workflows.
• Understanding of how LLMs are trained and what makes a dataset useful or high quality.
• Experience with mobile accessibility considerations and best practices.

• Be part of an advanced project in AI and accessibility with global impact.
• Help shape how future AI models understand inclusive design.
• Flexible remote work, friendly environment.
• Competitive compensation with possible extensions.