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# Remote Software Developer

- **Company:** Turing Technology, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, C++ (Programming Language), Code Generation, Software Quality, Computer Telephony Integration, Data Files, Software Debugging, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, Rust (Programming Language), ReactJS, Api Design, Golang
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/remote-software-developer-austin-tx--7d3b72a8-ca06-414b-beca-dcfb82c5ae73

## About the Role

Software Development, Artificial Intelligence (AI), Data Quality, Proof of Concept, Software Engineering, Customer Support/Service, Profit & Loss, Logical Software CTI Solutions, C Programming Language, Data Sets, * 3+ years of software engineering experience.

 * 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.

Engagement Details:

 * Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required).

## 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, JavaScript (including ReactJS), C/C++, 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 in Python, 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 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.