AI Software Engineer & Code Dataset Curator

Turing Enterprises, Inc.; Austin (TX); Presencial; USD 55.000 - 83.000; A tiempo parcial

Descripción de la vacante

Turing, based in San Francisco, California, seeks a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and refine AI-generated code across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go.

Work with researchers to enhance enterprise AI-driven coding solutions. The role involves evaluating code quality, scalability, and reliability, collaborating with cross-functional

Formación

• 3+ years of software engineering experience.
• Strong expertise in 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.

Responsabilidades

• Curate and build code datasets for AI model training and benchmarking.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with researchers and cross-functional teams on enterprise-level AI-powered coding solutions.
• Build agents to verify code quality and identify error patterns.
• Hypothesize on software engineering lifecycle steps and evaluate model capabilities on them.
• Design verification mechanisms to automatically verify solutions to software tasks.

Conocimientos

Full-stack development

Software architecture

Code quality & review

Technical communication

Descripción del empleo

Turing, based in San Francisco, California, seeks a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking large language models. You will curate code examples, provide precise solutions, and refine AI-generated code across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go.

Work with researchers to enhance enterprise AI-driven coding solutions. The role involves evaluating code quality, scalability, and reliability, collaborating with cross-functional