AI Code Evaluator & Data Engineer (Contractor)

Turing Enterprises, Inc.; Los Angeles (CA); On-site; USD 83,000 - 124,000; Full time

Job summary

Turing Enterprises, Inc. is seeking a Software Engineering evaluator to help create high-quality datasets for training and benchmarking large language models.

You will curate examples and produce precise solutions across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency and scalability, collaborate with researchers, and build verification mechanisms for enterprise AI coding solutions.

Qualifications

• 3+ years of software engineering experience.
• Experience building full-stack applications and deploying scalable production-grade software.
• 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 code examples across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go for AI model training and benchmarking.
• 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 agents that verify code quality and identify error patterns.
• Hypothesize software engineering steps (prototyping, architecture, API design, production) and evaluate model capabilities.
• Design verification mechanisms to automatically verify solutions to software engineering tasks.

Skills

3+ years experience

Full-stack development

Software architecture

Code quality review

Strong communication

Job description

Turing Enterprises, Inc. is seeking a Software Engineering evaluator to help create high-quality datasets for training and benchmarking large language models.

You will curate examples and produce precise solutions across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go. You will evaluate AI-generated code for efficiency and scalability, collaborate with researchers, and build verification mechanisms for enterprise AI coding solutions.