AI Software Engineer Evaluator: Code & Benchmarking

Turing Enterprises, Inc.; New York (NY); Remote; USD 83,000 - 165,000; Part time

Job summary

Turing is seeking a Software Engineering evaluator to create cutting-edge datasets for AI training and benchmarking. You will curate code examples, provide precise solutions, and correct code across multiple languages such as Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go, ensuring efficiency and scalability in enterprise AI coding solutions.

You will work with researchers and cross-functional teams to improve model-driven coding tooling, verify quality, and hypothesize workflow steps

Qualifications

• 3+ years of software engineering experience.
• Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
• 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 cutting-edge datasets for training and benchmarking of large language models.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• 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.
• Hypothesize software engineering steps and evaluate model capabilities on them.
• Design verification mechanisms to automatically verify solutions.

Skills

Full-stack development

Software architecture

Code review

Communication

Tools

Python

JavaScript

ReactJS

C/C++

Java

Rust

Go

Job description

Turing is seeking a Software Engineering evaluator to create cutting-edge datasets for AI training and benchmarking. You will curate code examples, provide precise solutions, and correct code across multiple languages such as Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go, ensuring efficiency and scalability in enterprise AI coding solutions.

You will work with researchers and cross-functional teams to improve model-driven coding tooling, verify quality, and hypothesize workflow steps