Remote Full Stack Developer

Turing; United States; Remote; USD 83,000 - 138,000; Full time

Job summary

Turing is seeking an experienced Software Engineering Evaluator in the United States to build and curate datasets for training and benchmarking large language models. You will work across Python and JavaScript (React, Node.js), with exposure to C/C++, Java, Rust, and Go, evaluating AI-generated code for quality and performance.

You will partner with researchers and cross-functional teams to enhance enterprise-grade AI coding solutions and verify software tasks as part of ongoing evaluation

Qualifications

• 3+ years of software engineering experience.
• Experience building full-stack apps with Python and JavaScript (React, Node.js).
• Experience deploying scalable production software.

Responsibilities

• Curate code examples and build solutions across Python and JavaScript.
• Evaluate and refine AI-generated code for efficiency and reliability.
• Collaborate with researchers and cross-functional teams.
• Develop and validate verification mechanisms for software tasks.
• Design APIs and enterprise-level AI-driven coding solutions.
• Support model training and evaluation workflows.

Skills

Software engineering

Full-stack development

Python

JavaScript (React, Node.js)

Code quality / review

Tools

Python

JavaScript

React

Node.js

C/C++

Rust

Go

Job description

Create and refine full-stack solutions for AI model training and evaluation.

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 shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, 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.

Skills: Python, JavaScript, Java, C++, Rust