Full Stack Engineer

Turing • Los Angeles, CA

1d

About The Position

Turing is hiring a Full Stack Engineer as a Software Engineering evaluator to create datasets for training, benchmarking, and advancing large language models in collaboration with researchers. The work involves curating code examples, providing precise solutions, and correcting code, primarily in Python across backend services, data pipelines, and ML infrastructure, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

The evaluator will assess and improve AI-generated code for efficiency, scalability, and reliability and collaborate with cross-functional teams to enhance enterprise-level AI-driven coding solutions. The role also involves building Python agents and automated verification tools, evaluating model capabilities across stages of the software engineering cycle, and designing mechanisms to automatically verify solutions to software engineering tasks.

This is a flexible contractor engagement requiring at least 10 hours per week and allowing up to 40 hours per week. The initial duration is one month, with potential extensions based on performance and fit. Candidates must be based in the United States. The application takes 15–30 minutes and requires an AI video interview.

Requirements

• At least 3 years of software engineering experience.
• Strong expertise in Python, including frameworks, tooling, and best practices for building production-grade software.
• Experience building full-stack applications and deploying scalable software using modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality and review assessment.
• Excellent oral and written communication skills for providing clear, structured evaluation rationales.
• Must be based in the United States.

Nice To Haves

• Experience building production systems at Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations.
• Graduation from a top computer science program such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, or a comparable institution; exceptional experience and skill take precedence over pedigree.

Responsibilities

• Curate code examples, develop solutions, and correct code for AI model training initiatives, primarily using Python and also JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code to ensure efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions against industry performance benchmarks.
• Build Python agents and automated verification tools to assess code quality and identify error patterns.
• Evaluate model capabilities across software engineering activities, including prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, and operational maintenance.
• Design verification mechanisms that can automatically verify solutions to software engineering tasks.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed