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# Remote C/C++ Developer

- **Company:** Turing
- **Location:** UK (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, C++ (Programming Language), Software Quality, Software Debugging, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, ReactJS, Api Design
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=12befd92bbabd1d4

## About the Role

* Several years of software engineering experience (3 years or more)
 * Strong expertise in building full-stack applications and 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.

## Description

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections primarily in C/C++, as well as in Python, JavaScript (including ReactJS), Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?

 * Working on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in C/C++, along with Python, JavaScript (including ReactJS), Java, Rust, and Go.
 * Evaluate and refine AI-generated code 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.
 * 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.


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