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. In this role, you'll help shape the next generation of large language models by creating high-quality training datasets, evaluating AI-generated code, and collaborating with frontier AI researchers. This is a flexible contractor engagement ideal for experienced engineers passionate about AI development.

About Turing

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

What You'll Do

• Curate code examples, build solutions, and correct code to support AI model training — primarily in Python, with additional work in JavaScript (ReactJS), C/C++, Java, Rust, and Go.
• Evaluate and refine AI-generated code for efficiency, scalability, and reliability.
• Build agents and automated verification tools in Python to assess code quality and identify error patterns.
• Collaborate with cross-functional teams to benchmark and improve AI-driven coding solutions.
• Hypothesize on software engineering lifecycle stages — from prototyping and architecture design to production, monitoring, and maintenance — and evaluate model capabilities across them.
• Design verification mechanisms to automatically validate solutions to software engineering tasks.

Required Skills

• 3+ years of professional software engineering experience.
• Strong expertise in Python, including frameworks, tooling, and production-grade best practices.
• Experience building full-stack applications and deploying scalable software.
• Deep understanding of software architecture, design, debugging, and code quality assessment.
• Excellent written and verbal communication skills for structured evaluation rationales.

Ideal Background

This role is a great fit for engineers with experience at frontier AI organizations such as OpenAI, NVIDIA, Databricks, Palantir, or Snowflake. Graduates from strong CS programs (UW, UIUC, UT Austin, Michigan, Purdue, etc.) are encouraged to apply — though exceptional skill and experience always take precedence.

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 cutting-edge AI research at the frontier of intelligent systems.