Vue.js and Nuxt Engineer

Role overview

Remote, hourly-paid contractor role as a Vue.js and Nuxt Engineer for AI training and evaluation work. You will review AI-generated Vue/Nuxt code and architectures, produce reference implementations and explanations, and help assess the quality and correctness of multiple AI responses.

Responsibilities

• Review and evaluate AI-generated Vue/Nuxt code for correctness, clarity, accessibility, security, performance, and adherence to prompts.
• Identify issues across Vue/Nuxt topics such as:
  • Vue reactivity, component composition, state management
  • SSR/SSG, routing, data fetching
  • hydration, caching, and bundle performance
• Fact-check technical information and validate explanations.
• Create high-quality reference implementations and step-by-step reasoning for complex engineering problems.
• Rate and compare multiple AI responses based on correctness and reasoning quality.
• Develop AI training content by writing detailed prompts and reference answers across Vue/Nuxt topics.
• Ensure model integrity by testing for inaccuracies or unsafe recommendations across real-world use cases.

Requirements

• Bachelor’s degree or higher in CS/Software Engineering (or equivalent practical experience).
• 4+ years building production web applications with Vue.js; 2+ years with Nuxt (or equivalent SSR framework experience).
• Expert proficiency in Vue 3 (Composition API, reactivity system, component patterns, lifecycle, slots, transitions).
• Strong Nuxt 3 fundamentals (server routes, middleware, composables, Nitro, SSR/SSG, caching, deployment patterns).
• Solid web fundamentals: HTTP, rendering, security basics (XSS/CSRF), cookies/sessions, OAuth flows.
• Performance mindset: bundle optimization, code splitting, image optimization, Core Web Vitals, profiling.
• Testing/quality experience: Vitest/Jest, Vue Test Utils, Playwright/Cypress, linting, CI/CD.
• C1 English proficiency (written and spoken) and ability to write clear technical explanations.
• Experience conducting detailed code reviews and enforcing standards for maintainability, correctness, and accessibility.

Nice to have

• Experience with AI data training, annotation, or evaluating AI-generated technical content.