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Software Engineer for AI Training (Frontend)

Jobgether

Salary not specified
Dec 2, 2025
Remote, US
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The partner company is looking to develop and evaluate next-generation AI-assisted coding systems by leveraging frontend expertise to build, review, and refine real-world web application features. They need to validate AI-generated outputs, ensure high-quality implementations, and provide actionable UI/UX feedback to improve the evolution and reliability of future development agents.

Requirements

  • Strong proficiency in at least one modern framework such as React, Next.js, Vue, Angular, or Svelte.
  • Solid CSS understanding and experience with component libraries or design systems.
  • Ability to interpret design specifications and translate them into clean, functional interfaces.
  • Familiarity with Git, tooling, and common frontend workflows.
  • Comfort working with AI-assisted development tools, coding agents, or automated code suggestions.
  • Experience with Tailwind, Bootstrap, Material UI, Chakra, Radix, or similar UI frameworks.
  • Prior experience in AI training, LLM evaluation, or annotation-related environments.

Responsibilities

  • Develop and maintain modern user interfaces using your strongest frontend framework.
  • Review, test, and refine code generated by AI coding assistants to ensure accuracy and reliability.
  • Build clean, reusable, and maintainable components aligned with project standards.
  • Apply solid CSS fundamentals and work with styling systems such as Tailwind, Bootstrap, or custom frameworks.
  • Provide structured feedback on layout, accessibility, and overall UI/UX clarity.
  • Follow detailed project guidelines to maintain evaluation consistency and integrity.
  • Communicate effectively with project coordinators and deliver tasks based on milestone requirements.

Other

  • 2–6 years of professional experience in frontend or fullstack development.
  • Excellent written communication in English (B2+).
  • A portfolio showcasing applications, prototypes, GitHub repositories, or live demos.
  • Exposure to software testing, QA processes, or documentation writing.
  • Fully remote and flexible work arrangement.