AI Code Evaluation Engineer — Contractor

Turing Enterprises, Inc.; San Francisco (CA); Teletrabalho; USD 69 000 - 103 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Remote work

Resumo da oferta

Turing Enterprises, Inc. in San Francisco, CA, seeks a Software Engineering evaluator to curate datasets for training and benchmarking large language models.

You will work with researchers, curate code examples, provide precise solutions, and correct code across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go. Daily tasks include evaluating AI-generated code for efficiency, scalability, and reliability, and collaborating with cross-functional teams to improve enterprise AI-driven coding

Qualificações

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

Responsabilidades

• 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 enhance AI-driven coding solutions against benchmarks.
• Build agents to verify code quality and identify error patterns.
• Contribute to design verification mechanisms for software engineering tasks.

Conhecimentos

Software engineering

Full-stack

Code quality

Communication

Ferramentas

Python

JavaScript

ReactJS

C/C++

Java

Rust

Go

Descrição da oferta de emprego

Turing Enterprises, Inc. in San Francisco, CA, seeks a Software Engineering evaluator to curate datasets for training and benchmarking large language models.

You will work with researchers, curate code examples, provide precise solutions, and correct code across Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go. Daily tasks include evaluating AI-generated code for efficiency, scalability, and reliability, and collaborating with cross-functional teams to improve enterprise AI-driven coding