Sr. Full-Stack Software Engineer

Full-Stack Software Engineer

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible—you choose the hours and days you work, including weekends if desired as long as there is activity.

We are looking for highly skilled Full-Stack Software Engineers to contribute to an AI training project involving software development, technical problem-solving, debugging, system architecture, and code evaluation.

The work involves creating, solving, reviewing, and validating challenging software-engineering tasks across front-end and back-end systems and helping with translating full coding builds from one particular language into another.

This role requires meaningful hands-on experience across both front-end and back-end engineering. Candidates should be comfortable working throughout the application stack rather than specializing exclusively in one layer.

What You’ll Work On

• Develop, modify, and debug front-end and back-end application components.

• Implement user-facing features and the services, APIs, and data models that support them.

• Trace requests and data across browsers, front-end applications, APIs, services, databases, and external integrations.

• Work inside unfamiliar repositories and understand existing application architecture.

• Diagnose failures involving application state, API contracts, authentication, persistence, networking, and deployment.

• Evaluate and improve code written in multiple programming languages.

• Review AI-generated solutions for correctness, completeness, performance, security, and maintainability.

Required Qualifications

• Strong professional experience developing production full-stack applications.

• Meaningful hands-on experience with 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 the architecture of complete software systems.

• Ability to work effectively in unfamiliar codebases.

• Strong debugging and technical problem-solving skills.

Process

• Apply to the role and complete the screening questions.

• Complete an AI interview of approximately 30 minutes.

• Complete a technical assessment, if required.

• Complete the hiring manager review.

Compensation Structure

Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.