Senior JavaScript/React Engineer at Turing

Senior JavaScript/React Engineer – AI Training | Contractor | Remote (US Only)

Join Turing, the world's leading AI research accelerator, as a Software Engineering Evaluator focused on training and benchmarking frontier large language models. This flexible contractor role is ideal for experienced full-stack engineers who want to shape the future of AI — contributing directly to cutting-edge model development alongside top researchers.

About Turing

Headquartered in San Francisco, Turing partners with leading AI labs and global enterprises to accelerate frontier AI research and deploy reliable, high-impact AI systems. Our team specializes in software engineering, logical reasoning, STEM, multilinguality, multimodality, and autonomous agents.

Role Overview

As a Software Engineering Evaluator, you will create high-quality datasets used to train, benchmark, and improve large language models. You'll curate code examples, build precise solutions, and evaluate AI-generated code across the full stack — spanning Python, JavaScript (React, Node.js), C/C++, Java, Rust, and Go.

What You'll Do

• Curate code examples and build or correct solutions across Python and JavaScript (React, Node.js) stacks, with additional work in C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability across backend and frontend contexts.
• Collaborate with cross-functional teams to benchmark and improve AI-driven coding solutions.
• Build agents capable of verifying code quality and identifying error patterns in full-stack applications.
• Analyze and evaluate model capabilities across the software engineering lifecycle — from prototyping and architecture design to production, monitoring, and maintenance.
• Design automated verification mechanisms for software engineering task solutions.

Required Skills

• 3+ years of professional software engineering experience.
• Strong expertise in full-stack development using Python and JavaScript (React, Node.js).
• Proven experience deploying scalable, production-grade software with modern tools and languages.
• Deep understanding of software architecture, design patterns, debugging, and code quality assessment.
• Excellent written and verbal communication skills for structured, clear evaluation rationales.

Ideal Background

This role is best suited for engineers with experience at frontier AI organizations such as OpenAI, NVIDIA, Databricks, Palantir, or Snowflake, or graduates from top CS programs including Stanford, MIT, Carnegie Mellon, UC Berkeley, or Georgia Tech. Exceptional skill and experience always take precedence over academic pedigree.

Engagement Details

• Type: Contractor (no medical or paid leave benefits)
• Commitment: Flexible — minimum 10 hrs/week, up to 40 hrs/week
• Duration: 1 month, with potential extensions based on performance
• Location: Must be based in the United States

Application Process

The application takes approximately 15–30 minutes and includes an AI video interview. Apply today to contribute to the next generation of intelligent systems.