Note: The job is a remote job and is open to candidates in USA. Turing is a research accelerator for frontier AI labs and a partner for enterprises deploying advanced AI systems. The Remote Backend Engineer will create datasets for training and benchmarking large language models, curate and correct code, evaluate AI-generated software, and collaborate on AI-driven coding solutions across backend, frontend, and full-stack applications.

Responsibilities

• Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go
• Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks
• Build agents that can verify the quality of the code and identify error patterns across full-stack applications
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them
• Design verification mechanisms that can automatically verify a solution to a software engineering task

Skills

• Several years of software engineering experience (3 years or more)
• Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases
• Experience deploying scalable, production-grade software using modern languages and tools
• Deep understanding of software architecture, design, development, debugging, and code quality/review assessment
• Excellent oral and written communication skills for clear, structured evaluation rationales
• Candidates must be based in the United States
• This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations
• We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree

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