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# Remote Python 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, Rust (Programming Language), ReactJS, Backend, Machine Learning Operations, Api Design, Data Pipelines, Golang
- **Published:** September 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8e03678282e34839

## About the Role

* Several years of software engineering experience (3 years or more).
 * Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
 * Experience building full-stack applications and deploying scalable 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.

Engagement Details:

 * Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.

## 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 - with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?

 * Work on AI model training initiatives by curating code examples, building solutions, and correcting code - primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, 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 and automated verification tools in Python that can verify the quality of 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.