Frontier AI Software Engineer — Data & Code Curation

Turing Enterprises, Inc.; Los Angeles (CA); Remote; USD 27,000 - 109,000; Part time

Benefits offered by this job

Contractor role

Flexible hours

Job summary

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

You will curate code examples and provide precise solutions across languages like Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go, while evaluating AI-produced code for efficiency and reliability. Collaborate with researchers and cross-functional teams to enhance enterprise AI-driven coding solutions, focusing on production-quality

Qualifications

• 3+ years of software engineering experience.
• Deep understanding of building full-stack applications and deploying scalable, production-grade software.
• Strong knowledge of software architecture, design, development, debugging, and code quality/review assessment.
• Excellent oral and written communication skills for clear evaluation rationales.

Responsibilities

• Curate code examples and build solutions in Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions against benchmarks.
• Build agents that verify code quality and identify error patterns.
• Reason about software engineering steps and evaluate model capabilities on them.
• Design verification mechanisms to automatically verify solutions to software tasks.

Skills

Software engineering

Full-stack development

Software architecture

Code review

Communication

Job description

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

You will curate code examples and provide precise solutions across languages like Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go, while evaluating AI-produced code for efficiency and reliability. Collaborate with researchers and cross-functional teams to enhance enterprise AI-driven coding solutions, focusing on production-quality