Backend Engineer (Python/FastAPI)

Turing; Seattle (WA); On-site; USD 83,000 - 131,000; Part time

Job summary

Turing, based in San Francisco, invites a Software Engineering Evaluator to join as a contractor in the United States. You will create cutting-edge datasets for training and benchmarking large language models, collaborating with researchers.

You will work across Python for backend and JavaScript for frontend, plus C/C++, Java, Rust, and Go, evaluating and refining AI-generated code. This flexible engagement (10–40 hrs/week, 1 month with potential extensions) emphasizes code quality,

Qualifications

• 3+ years of software engineering experience.
• Proficient in Python and JavaScript (React, Node.js) for full-stack development.
• Experience deploying scalable, production-grade software.
• 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 in Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams to improve AI-driven coding solutions.
• Build agents to verify code quality and identify error patterns across full-stack apps.
• Hypothesize steps in the software engineering cycle and assess model capabilities.
• Design verification mechanisms to automatically verify solutions.

Skills

Software engineering experience

Full-stack Python & JavaScript

Production-grade software deployment

Software architecture & debugging

Strong communication skills

Tools

React

Node.js

Python

Go

C/C++

Java

Rust

Job description

About Us

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Ideal Background

This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

• Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
• Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
• Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
• Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
• Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills

• Several years of software engineering experience (3 years or more).
• Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
• Experience 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.

Engagement Details

• Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
• Type: Contractor (no medical/paid leave).
• Duration: 1 month (potential extensions based on performance and fit).
• Location: Candidates must be based in the United States.

Evaluation Process

• The application process takes 15–30 minutes.
• Completion of an AI video interview is required.