Software Engineer (Full Stack) - 17853

Role Overview :

Turing is seeking experienced Full Stack Software Engineers to help build end-to-end AI-driven applications for US customers — spanning backend services, web frontends, and evaluation tooling.

In this role, you’ll work with Python and modern JS / TS to ship production-quality features, design and run model evaluations, and transform cutting-edge AI research into reliable, secure, and scalable products.

This is a fully remote, highly flexible engagement — work from anywhere, on your own schedule — while earning a competitive up to $100 / hr. It’s a rare opportunity to apply your engineering expertise to frontier AI projects with global impact.

What You’ll Do :

Ship well-structured Python and JS / TS code for AI workflows and full-stack web apps.

Design and run model evaluations, score outputs, and document clear rationales.

Build and maintain SFT / RLHF datasets and feedback loops with researchers.

Contribute to code reviews, testing, and performance / security improvements.

What We’re Looking For :

Strong skills in Python and modern JS / TS; proven track record writing clean, reusable, well-tested code.

Experience with Node.js or NestJS plus a modern frontend framework (React / Angular / Vue).

Knowledge of modular, scalable app design with emphasis on testing / TDD and security.

Ability to collaborate asynchronously in English with a global engineering team.

Why You'll Love This Role :

Great Pay → Up to $100 / hr.

Remote & Flexible → Work from anywhere, on your own schedule.

High-Impact Work → Ship products that turn frontier AI research into real-world applications.

Career Edge → Build expertise at the intersection of full-stack development and AI.

About Turing :

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways : first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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