Senior Full-Stack Software Engineer

Contribute to an AI training project by applying senior-level full-stack engineering expertise to complex software development, debugging, architecture, code evaluation, and cross-language implementation work. The role spans both front-end and back-end systems and is intended for engineers who are comfortable working across the full application stack.

• Create, solve, review, and validate challenging software engineering tasks across front-end and back-end systems.
• Translate complete coding builds from one programming language into another.
• Develop, modify, and debug front-end and back-end application components.
• Implement user-facing functionality along with the services, APIs, and data models that support it.
• Trace requests and data across browsers, front-end applications, APIs, services, databases, and external integrations.
• Work within unfamiliar repositories and determine how existing application architectures are structured.
• 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.

• Strong professional experience developing production full-stack applications.
• Meaningful hands-on experience in both front-end and back-end engineering.
• Production experience with multiple programming languages.
• Relevant technologies and languages include Python, React, JavaScript, Java, Node.js, Rust, Go, and TypeScript.
• Strong knowledge of browser applications, APIs, application state, databases, and service integrations.
• 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.

• Independent contractor engagement.
• Fully remote and open to candidates globally.
• Approximately 15 hours of work per week.
• Flexible scheduling, with the ability to choose working hours and days, including weekends, provided there is ongoing activity.
• Selected candidates should be prepared to begin promptly, with first tasks expected within 24 to 48 hours after onboarding is completed.

• Stated compensation range is $50 to $100 per hour.
• Compensation is output-based, with payment made for tasks that meet project specifications.
• Task completion time may vary based on the contractor''s experience and workflow.
• Minimum submission requirements apply, including a required minimum number of tasks each week.

• Apply for the role and complete the required screening questions.
• Complete an approximately 30-minute AI interview.
• Complete a technical assessment if one is required for the role.
• Proceed through hiring manager review.
• Applicants should be ready to start quickly if selected.