Frontend AI Training Engineer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect contributors with opportunities to help shape modern AI systems, build a professional profile, and grow their experience in a rapidly developing field.

• Remote contract work available worldwide
• Create a profile and apply in minutes
• Build a durable portfolio of AI training experience

About AI Training Work

AI training is the human side of building artificial intelligence. Technical contributors create examples, test model behavior, and evaluate outputs so AI systems can become more capable, reliable, and useful. This role applies frontend engineering expertise to coding environments and evaluations for AI models.

• Work directly on practical AI training and evaluation tasks
• Use your software expertise to improve how AI models solve frontend problems
• Contribute remotely with flexible, part-time scheduling

The Role

OpenTrain is seeking a Frontend AI Training Engineer to create reinforcement learning environments that test how AI models solve practical frontend software problems. You will build reproducible environments and golden reference solutions for tasks involving UI bug fixes, interface features, and component improvements.

This is a remote contract role open worldwide. The expected time commitment is 20 or more hours per week, and work is conducted in English.

• Employment type: Contractor and part-time
• Compensation: $65–$120 per hour
• Location: Worldwide and fully remote
• Language: English
• Experience level: Entry level

What You'll Do

You will develop clear, technically accurate frontend coding tasks and solutions that can be used to train and evaluate AI systems. Your work will span unfamiliar codebases and require careful reasoning about interface behavior, implementation quality, and correctness.

• Create reproducible reinforcement learning environments for frontend software tasks
• Develop golden reference solutions for UI bugs, interface features, and component code
• Write JavaScript and TypeScript examples using React, Vue, or Angular
• Troubleshoot layout, state, rendering, and other user-interface issues
• Build small to medium interface features with clean, reusable components
• Improve frontend code for readability, performance, and consistency
• Document your reasoning and code decisions clearly
• Review peer-contributed code and technical submissions for correctness and clarity

Required Skills

You should have at least one year of hands-on experience building user interfaces with JavaScript or TypeScript and a modern frontend framework. You must be able to work through practical coding problems, explain your decisions, and produce solutions that are reproducible and technically sound.

• Hands-on frontend development experience with JavaScript or TypeScript
• Experience with React, Vue, or Angular
• Strong knowledge of HTML, CSS, responsive design, and component-based architecture
• Ability to debug UI bugs, layout issues, state behavior, and rendering problems
• Comfort using browser developer tools
• Ability to work effectively across unfamiliar codebases
• Clear technical communication through documentation
• Ability to create reproducible coding environments and correct reference solutions

Helpful Background

Curiosity about AI systems and their technical challenges is useful, but previous AI experience is not required. Experience with React, Vue, or Angular and a portfolio of frontend code can help demonstrate practical problem-solving ability.

• A portfolio showing frontend development work
• Interest in how AI models solve software engineering problems
• Strong attention to correctness, clarity, and maintainability

Why Build AI Training Experience

Modern AI models depend on examples prepared, tested, and reviewed by people with real technical knowledge. By contributing frontend tasks and reference implementations, you can work on the cutting edge of AI development while building experience that reflects your engineering strengths.

• Work remotely from anywhere with an internet connection
• Choose flexible work that can fit around other commitments
• Apply your frontend expertise to emerging AI systems
• Grow a professional portfolio in AI training and data labeling