Job Description
Role Overview:
Turing is looking for experienced Full Stack Developers to build modern solutions that power AI products and evaluation workflows.
You'll work with Node.js/Nest.js and a modern frontend framework (React/Angular/Vue) to implement features, improve code quality and testing, and contribute to datasets and evaluation pipelines that align LLM behavior with real-world user needs.
This is a remote, flexible consulting role with up to $100/hr compensation — a unique opportunity to apply your engineering expertise to frontier AI challenges.
What You'll Do:
- Build and maintain high-quality JS/TS services and UIs for AI training and evaluation.
- Design and run evaluation pipelines, documenting rationales and improvements.
- Collaborate on SFT/RLHF dataset creation and process refinement.
- Conduct code reviews and raise quality standards across the stack.
What We're Looking For:
- Advanced JS/TS (ES6+) skills; strong with Node.js/Nest.js and at least one frontend framework (React/Angular/Vue).
- Proven ability in web app architecture, testing discipline, and code readability.
- Familiarity with scalable, modular full-stack development.
- BS/MS in CS/Engineering (or equivalent).
- Strong problem-solving ability and clear English communication for async collaboration.
Why You'll Love This Role:
- Competitive Pay Up to $100/hr.
- Remote Flexibility Work from anywhere, on your own schedule.
- High-Impact Work Ship products that shape how frontier AI interacts with users.
- Career Edge Gain experience at the cutting edge of AI and full-stack development.
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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