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# Remote Senior Backend Engineer (Python/FastAPI) - AI Evaluation (US-based)

- **Company:** Turing
- **Location:** Ashton-under-Lyne, UK
- **Experience:** Expert
- **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, System Programming, Rust (Programming Language), ReactJS, Backend, Fastapi, Api Design, Golang
- **Published:** May 17, 2026
- **Apply:** https://find.jobs/jobs-near-me/remote-senior-backend-engineer-python-fastapi-ai-evaluation-us-based-ashton-under-lyne-manchester/2774757684-2/

## About the Role

* Several years of software engineering experience (3 years or more)
 * Strong expertise in systems programming, infrastructure, or backend development using languages like Python, C/C++, Rust, and Go.
 * Experience building 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.

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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) - with particular emphasis on systems-level code, performance-critical applications, and infrastructure. 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 in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS).
 * Evaluate and refine AI-generated code with an emphasis on systems-level correctness, performance, and reliability.
 * Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
 * Build agents that can verify the quality of systems-level and infrastructure 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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- [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours)
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- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
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