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 to enterprises deploying advanced AI systems. The Backend Engineer will support AI model training initiatives by curating and evaluating code, building verification agents, and assessing software engineering capabilities 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
• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
• Location: 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

Benefits

• Flexible engagement, with a minimum commitment of 10 hours per week and up to 40 hours per week

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