Full-Stack Engineer

You will contribute to AI training work focused on software development, technical problem-solving, debugging, system architecture, and code evaluation. The role covers both front-end and back-end systems and includes working with unfamiliar codebases.

You will create, solve, review, and validate software-engineering tasks. You will also assess AI-generated solutions for correctness, completeness, performance, security, and maintainability.

• Develop, modify, and debug front-end and back-end application components.
• Build user-facing features and the APIs, services, and data models behind them.
• Trace requests and data across browsers, applications, APIs, services, databases, and external integrations.
• Diagnose issues involving application state, API contracts, authentication, persistence, networking, and deployment.
• Evaluate and improve code written in multiple programming languages.
• Contribute to complete software-system architecture and validate engineering implementations.

What it pays and takes

This is part-time contractor work for less than 20 hours per week. The work is open to candidates in the countries specified for this role across North America, South America, Europe, Asia, Africa, and the Middle East.

• Pay: $50 to $100 per hour equivalent, paid per task that meets the project specifications.
• Schedule: Less than 20 hours per week.
• Language: Professional fluency in English.
• Experience: Strong professional experience developing production full-stack applications, including front-end and back-end work, is required.
• Technical knowledge: Production experience with multiple programming languages, browser applications, APIs, application state, databases, and service integration.
• Problem solving: Ability to understand unfamiliar repositories, contribute to complete system architecture, and debug complex technical issues.
• Helpful technologies: Python, React, JavaScript, Java, Node.js, Rust, Go, and TypeScript.
• Helpful background: Experience reviewing AI-generated code and assessing security, performance, and maintainability.

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.

About AI training work

AI training is the human work behind modern artificial intelligence. People prepare examples, write and review code, and rate model outputs so AI systems can improve; experienced software engineers are needed for tasks that require production development and careful technical judgment.