Contract Backend Engineer (Python/FastAPI) – Flexible Hours

Turing; San Francisco (CA); On-site; USD 83,000 - 138,000; Part time

Job summary

Turing in San Francisco is seeking a Software Engineering evaluator to create cutting-edge datasets for training, benchmarking, and advancing large language models. You will curate code examples, provide precise solutions, and correct across Python for backend and JavaScript for frontend, with exposure to C/C++, Java, Rust, and Go.

You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to enhance

Qualifications

• 3+ years of software engineering experience.
• Strong full-stack proficiency in Python and JavaScript (React, Node.js).
• Experience deploying production-grade software with modern languages and tools.
• Deep understanding of software architecture, design, development, debugging, and code quality.
• Excellent oral and written communication for clear evaluation rationales.

Responsibilities

• Curate code examples and build solutions across backend and frontend stacks.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with researchers and cross-functional teams on enterprise-grade AI coding solutions.
• Build verification agents to assess code quality and identify error patterns.
• Think through the software engineering lifecycle steps from prototyping to production.

Skills

3+ years experience

Full-stack Python/JS

Production-grade software

Software architecture & design

Clear written/verbal communication

Tools

Python

JavaScript

React

Node.js

Go

Rust

Java

C/C++

Job description

Turing in San Francisco is seeking a Software Engineering evaluator to create cutting-edge datasets for training, benchmarking, and advancing large language models. You will curate code examples, provide precise solutions, and correct across Python for backend and JavaScript for frontend, with exposure to C/C++, Java, Rust, and Go.

You will evaluate AI-generated code for efficiency, scalability, and reliability, collaborating with researchers and cross-functional teams to enhance