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# TELECOMMUTE Remote Rust Developer

- **Company:** Turing Enterprises, Inc.
- **Location:** United States (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, Golang
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/9ab22b2e-1935-4f37-b4d4-1da4ff4b8c50

## About the Role

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 Rust, as well as in Python, JavaScript (including ReactJS), C/C++, Java, 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., * 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

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