Sr. Full-Stack Software Engineer

The work

You will contribute to AI training through software development, technical problem-solving, system architecture, debugging, and code evaluation. The work covers both front-end and back-end systems, including user-facing features, services, APIs, data models, and external integrations.

You will also create and solve challenging engineering tasks, translate complete coding builds between programming languages, and assess AI-generated solutions against standards for correctness, completeness, performance, security, and maintainability.

• Develop, modify, and debug front-end and back-end application components.
• Build user-facing features with supporting services, APIs, and data models.
• Trace requests and data across browsers, applications, APIs, services, databases, and external integrations.
• Work in unfamiliar repositories and understand existing application architecture.
• Diagnose issues involving application state, API contracts, authentication, persistence, networking, and deployment.
• Evaluate and improve code written in multiple programming languages.
• Review and validate challenging software-engineering tasks and AI-generated solutions.

What it pays and takes

This is part-time contractor work for an AI training and software evaluation project.

• Pay: $50 to $100 per hour equivalent, paid per task that meets the project specifications.
• Time: Less than 20 hours per week.
• Work type: Part-time contract work.
• Location: Open to candidates in the United States, Canada, the United Kingdom, Europe, Asia, Africa, the Middle East, and Latin America, including the listed eligible countries.
• Language: Fluent in English.
• Strong professional experience developing production full-stack applications.
• Hands-on experience across both front-end and back-end engineering.
• Production experience with multiple programming languages.
• Strong knowledge of browser applications, APIs, application state, databases, and service integration.
• Experience understanding and contributing to complete software-system architecture.
• Ability to work effectively in unfamiliar codebases.
• Strong debugging and technical problem-solving skills.

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 5 screening questions.

About AI training work

AI training is the human work behind systems that learn from examples, including writing, reviewing, and evaluating computer code. Experienced software engineers help improve these systems by judging whether generated solutions are correct, secure, complete, efficient, and maintainable.