This job is with our partner Micro1.
Tasks
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.
Requirements
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.