Software Engineer – AI Research at Turing

Software Engineer – AI Research & Evaluation | Contractor | Remote (US-based)

Join Turing, the world's leading AI research accelerator, as a Software Engineering Evaluator helping shape the next generation of large language models. This flexible contractor role is ideal for experienced full-stack engineers passionate about AI development, code quality, and frontier research.

About Turing

Based in San Francisco, Turing partners with frontier AI labs and global enterprises to accelerate AI research and deploy advanced intelligent systems. Our work spans high-quality training data, advanced pipelines, and deep expertise in software engineering, STEM, reasoning, and multimodal AI.

Role Overview

As a Software Engineering Evaluator, you will create and curate cutting-edge datasets used to train, benchmark, and advance large language models. You'll work across the full stack — Python, JavaScript (React, Node.js), C/C++, Java, Rust, and Go — evaluating and refining AI-generated code for efficiency, scalability, and reliability.

What You'll Do

• Curate code examples, build solutions, and correct code across Python, JavaScript, and other languages for AI model training initiatives.
• Evaluate and refine AI-generated code in both backend and frontend contexts.
• Collaborate with cross-functional teams to benchmark AI-driven coding solutions against industry standards.
• Build agents to verify code quality and identify error patterns across full-stack applications.
• Analyze and evaluate model capabilities across the full software engineering lifecycle — from prototyping and architecture design to production, monitoring, and maintenance.
• Design automated verification mechanisms for software engineering tasks.

Required Skills

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

Ideal Background

We welcome engineers with experience at frontier AI organizations (e.g., OpenAI, NVIDIA, Databricks, Palantir, Snowflake) or graduates from top CS programs such as Stanford, MIT, CMU, UC Berkeley, or Georgia Tech. Exceptional skill and experience always take precedence over pedigree.

Engagement Details

• Type: Contractor (no medical/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 cutting edge of AI research and evaluation.