🌎 Full Stack Developer, Remote - Contract

Xperteez Technology • ,

19h • $65 - $120 • Remote

About The Position

In this role, you'll apply your end-to-end development expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your development skills are what matter. As an expert, you will be creating Reinforcement Learning Environments which test an AI model's ability to solve full-stack software problems, spanning frontend, backend, and the connection between them. You will be tasked with creating a reproducible environment and a golden reference solution for the problem.

Requirements

• Node.js
• Typescript
• React
• Angular
• GoLang
• API Integrations
• FastAPI
• REST API
• React Native
• Shopify
• Wordpress
• Nest.js

Nice To Haves

• 1+ years of hands-on experience building both frontend and backend applications.
• Comfortable with at least one frontend framework (React, Vue, or Angular) and one backend stack (Node/Express, Python/Django/Flask, Java/Spring, or similar).
• Solid understanding of how frontend and backend systems connect through APIs.
• Ability to debug issues that cross the frontend/backend boundary.
• Good documentation and communication skills to explain your technical decisions clearly.
• Interest in or curiosity about AI and its technical challenges (previous AI experience not required).

Responsibilities

• Contribute clear code samples, debugging approaches, and development insights across frontend and backend, using languages like JavaScript/TypeScript, Python3, Java, or Go.
• Identify, troubleshoot, and resolve bugs that span both the UI and the underlying API or database layer.
• Build small to medium features end-to-end, from the interface through to the data layer, following good coding practices.
• Improve existing frontend and backend code to make it cleaner, more consistent, and easier to maintain.
• Document your reasoning, approach, and code decisions to support AI training data quality.
• Review peer-contributed code and technical submissions for correctness and clarity.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed