Senior Software Engineer - AI Data & Model Evaluation

Turing Enterprises, Inc.; Austin (TX); On-site; USD 69,000 - 124,000; Part time

Job summary

Turing Enterprises, Inc. is seeking a Software Engineering evaluator to create cutting-edge datasets for training, benchmarking, and advancing large language models.

The role focuses on Python across backend services, data pipelines, and ML infrastructure, with additional work in JavaScript, C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency and reliability and collaborate with cross-functional teams.

Qualifications

• 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.

Responsibilities

• Curate cutting-edge datasets for training, benchmarking, and advancing large language models.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry benchmarks.
• Build Python-based agents and automated verification tools to verify code quality and detect error patterns.
• Hypothesize steps in the software engineering cycle and evaluate model capabilities on them.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

Skills

Python

Full-stack development

Code quality

Communication

Software architecture

Job description

Turing Enterprises, Inc. is seeking a Software Engineering evaluator to create cutting-edge datasets for training, benchmarking, and advancing large language models.

The role focuses on Python across backend services, data pipelines, and ML infrastructure, with additional work in JavaScript, C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency and reliability and collaborate with cross-functional teams.