Rust Software Engineer for AI Data & Model Evaluation

Turing Enterprises, Inc.; San Francisco (CA); Remote; USD 83,000 - 165,000; Part time

Job summary

Turing Enterprises, Inc. in San Francisco is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking AI models. You will curate code examples and provide precise solutions, primarily in Rust, with support from Python, JS/React, C/C++, Java, and Go.

You will evaluate AI-generated code for efficiency, scalability, and reliability, working with cross-functional teams to enhance enterprise AI-driven coding solutions.

Qualifications

• Several years of software engineering experience (3 years or more).
• 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.

Responsibilities

• Create cutting-edge datasets for training and benchmarking AI models; curate code examples and provide precise solutions.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability; correct code primarily in Rust and other languages.
• Collaborate with researchers and cross-functional teams to enhance enterprise-level AI-driven coding solutions.
• Build agents that verify code quality and identify error patterns; design verification mechanisms.

Skills

Software engineering

Full-stack development

Code quality / review

Communication

Tools

Rust

Python

JavaScript / ReactJS

C/C++

Java

Go

Job description

Turing Enterprises, Inc. in San Francisco is seeking a Software Engineering evaluator to create cutting-edge datasets for training and benchmarking AI models. You will curate code examples and provide precise solutions, primarily in Rust, with support from Python, JS/React, C/C++, Java, and Go.

You will evaluate AI-generated code for efficiency, scalability, and reliability, working with cross-functional teams to enhance enterprise AI-driven coding solutions.