Frontend / UI Engineer (English)

Turn visual material and recorded workflows into clear, multi-step frontend coding tasks. Each task should explain the code and supporting files needed, the behavior a successful implementation must show, and how to check the result.

• Create tasks from software interfaces, screenshots, UI mockups, diagrams, and screen recordings.
• Write objective, repeatable criteria that show whether an implementation is correct, not just convincing at a glance.
• Build a working reference implementation for each task.
• Review other contributors’ tasks for technical accuracy, clarity, and reliable grading.
• Flag tasks that are unclear or cannot be graded consistently.

What it pays and takes

• Pay: Approximately $640 to $800 per approved task.
• Each approved task is estimated to take about eight hours.
• Work type: Remote, project-based contractor work.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Fluent written English and the ability to explain expected behavior and repeatable verification steps.
• Strong frontend engineering experience with React, TypeScript, or comparable tools, plus the ability to read, change, debug, and validate real application code.
• A public GitHub profile with substantial, verifiable work, such as maintained repositories, merged pull requests, or meaningful commits.
• Experience with UI implementation, graphics, SVG, Canvas, or complex interactive interfaces is valuable. WebGL, three.js, charting, diagramming, design systems, component libraries, and hands-on UI design with public code contributions are helpful.
• Prior data-labeling, AI evaluation, or rubric-based review experience is helpful but not required.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 8 screening questions.

About AI training work

AI training work involves people preparing and reviewing examples that help AI systems learn. This role uses frontend engineering judgment to create and check coding tasks, which is why it calls for strong practical coding skills.