Full Stack Developer | $65-$120/hr Remote
Overview
A remote contractor role for a Full Stack Developer to help train next generation AI systems. You’ll design and implement end-to-end features that test how models learn, reason, and operate across the full tech stack. Expect to work on Reinforcement Learning Environments, create reproducible setups, and craft gold-standard solutions that demonstrate solid coding and collaboration. Your broad skill set in both frontend and backend will shape real world inputs used for AI training, without requiring prior AI experience.
What You'll Do6
- 1Deliver end-to-end features spanning UI and API layers while applying strong coding practices
- 2Identify and fix cross-cutting bugs that affect frontend, backend, and data storage
- 3Develop reproducible environment blueprints and gold reference solutions for AI training problems
- 4Improve and refactor existing codebases to enhance readability, maintainability, and consistency
- 5Document reasoning, approaches, and design decisions to support high quality training data
- 6Review peer submissions for accuracy, clarity, and technical soundness
Requirements5
- 1Hands-on experience building both frontend and backend applications
- 2Proficiency with at least one frontend framework (React, Angular, or Vue) and one backend stack (Node/Express, Python/Django/Flask, or Java/Spring)
- 3Solid understanding of API connections between frontend and backend
- 4Ability to troubleshoot issues that span UI and data layers
- 5Strong documentation and communication skills to articulate decisions clearly
Who Should Apply
Ideal candidates are versatile developers who enjoy bridging frontend and backend work and are curious about AI challenges. You should bring proven ability to ship features end to end, communicate clearly, and contribute to reproducible test environments even if you don’t have formal AI training experience.
Salary Insight
Compensation ranges from $65-$120/hr for a remote contractor role.
Location
Required Skills
Application Tip
Prepare a short portfolio snippet showing a cross-cutting feature you built, and describe the API boundaries you defined and how you tested end-to-end integrity.
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