Sr. Full-Stack Software Engineer - Remote

We are seeking experienced Full-Stack Software Engineers to support an AI training project focused on software development, debugging, system architecture, and code evaluation.

You will work across front-end and back-end systems, developing and reviewing complex engineering tasks, validating solutions, and translating complete software builds between programming languages., * Develop, modify, and debug front-end and back-end application components.

• Build user-facing features, APIs, services, and supporting data models.
• Trace requests and data across browsers, applications, APIs, databases, and external integrations.
• Navigate unfamiliar repositories and understand existing system architecture.
• Diagnose issues involving application state, authentication, API contracts, persistence, networking, and deployment.
• Evaluate and improve code across multiple programming languages.
• Review AI-generated solutions for correctness, performance, security, completeness, and maintainability.

Software Engineering, Software Engineering, Artificial Intelligence (AI), Software Development, System Architecture, Software Administration, Architectural Analysis, Software Debugging, Build Management, Programming Languages, * Strong professional experience developing production full-stack applications.

• Hands-on expertise in both front-end and back-end engineering.
• Production experience with multiple programming languages.
• Proficiency in technologies such as Python, React, JavaScript, Java, Node.js, Rust, Go, and TypeScript.
• Strong understanding of browser applications, APIs, databases, application state, and service integration.
• Experience working with complete software architectures and unfamiliar codebases.
• Excellent debugging and technical problem-solving skills.

Compensation is output-based, with an estimated equivalent of $50-$100 per hour. Payment is made per accepted task that meets project specifications.

The engagement requires approximately 15 hours per week, with flexible scheduling and a minimum weekly task submission requirement. Selected candidates should be available to begin their first tasks within 24-48 hours after onboarding.

Annualized compensation is an illustrative equivalent based on 40 hours/week × 48 weeks/year. Actual earnings depend on hours worked, project availability, and approved work.