Overview

Turing is seeking experienced software engineers to partner with a leading AI research lab in creating datasets and evaluation pipelines that advance next-generation large language models. This is a fully remote, highly flexible opportunity — work from anywhere, on your own schedule — while earning up to $200/hr.

What You’ll Do

• Curate high-quality code examples and implement precise solutions across multiple languages.
• Evaluate AI-generated code for efficiency, scalability, reliability, and style.
• Build agents and tools that can automatically verify code quality and error patterns.
• Design and refine evaluation strategies for the full software engineering cycle — prototyping, design, implementation, launch, monitoring, and maintenance.

What We’re Looking For

• Several years of software engineering experience, including 2+ years full-time at a top-tier product company (e.g., Google, Meta, Amazon, Microsoft, Stripe, Netflix, Apple, Datadog, Dropbox, Shopify, PayPal, IBM Research).
• Strong expertise in full-stack development and deploying scalable, production-grade systems.
• Deep knowledge of software architecture, debugging, and code quality practices.
• Excellent written and verbal communication in English, with structured and precise reasoning.

Why You\'ll Love This Role

• Remote & Flexible → Work from anywhere, on your own schedule.
• Career Edge → Gain rare experience at the intersection of software engineering and AI.
• High-Impact Work → Shape how frontier AI models learn to design, build, and evaluate software.

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.