Senior Software Engineer – Rust: LLM Evaluation & Repository Validation at Turing

The artificial intelligence landscape is undergoing a monumental evolution. As frontier models transition from answering simple queries to executing autonomous software engineering tasks, the demand for high-fidelity evaluation data has never been greater. Artificial intelligence systems must learn to reason through complex software engineering hurdles just like human developers.

Turing stands at the absolute forefront of this technological shift, operating as one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful intelligent systems. Through innovative synthetic approaches paired with human-in-the-loop validation, Turing builds verifiable software engineering benchmarks based on public repository histories.

About the Project & Role

Turing is currently engaging tech-lead level, experienced software engineers for the Senior Software Engineer – Rust (LLM Evaluation & Repository Validation) project. This initiative focuses on building comprehensive evaluation and training datasets that teach large language models to tackle realistic software engineering challenges across diverse programming languages and difficulty levels.

This is a hands-on technical role where you will directly influence the future of AI-assisted software development, blending rigorous software engineering practices with advanced AI research.

Required Skills and Experience

To thrive in this high-impact role, candidates must bring a strong technical foundation and demonstrable systems-level expertise:

• Overall Experience: Minimum 3+ years of professional software engineering experience.
• Core Language Proficiency: Strong, production-grade experience with Rust.
• Tooling & Pipelines: Proficiency with Git, Docker, and fundamental software pipeline setup.
• Codebase Navigation: Exceptional ability to understand, navigate, and refactor complex, multi-layered codebases.
• Local Execution: Comfort running, modifying, and testing real-world projects locally.
• Bonus Qualifications: Prior experience contributing to open-source projects, participating in LLM evaluation projects, or building developer tools and automation agents.

Perks of Working With Turing

Freelancing and contracting with Turing offers exceptional professional advantages designed for top-tier global talent:

• Full Remote Flexibility: Work from anywhere within approved regions, enjoying location independence.
• Cutting-Edge AI Projects: Collaborate directly with leading LLM companies on groundbreaking technologies.
• Global Talent Network: Engage with elite engineers across India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, and Mexico.

Engagement Details & Time Commitments

This is a remote contractor assignment (note that medical and paid leave benefits are not included). Key structural details include:

• Contract Duration: 3 months, with expected starts beginning as early as next week.
• Commitment Options: Choose from 20 hours/week, 30 hours/week, or 40 hours/week (minimum 4 hours per day, requiring a 4-hour daily overlap with PST).

The Interview & Onboarding Process

Turing maintains a streamlined yet rigorous vetting process designed to identify top-tier engineering talent:

1. Technical Evaluation: A concise ~75-minute evaluation split into two targeted rounds (a 60-minute technical interview followed by a 30-minute technical and cultural discussion).
2. Onboarding & Stability: Once selected, candidates complete initial onboarding and commit to at least 10 hours of initial work. Completing this initial milestone ensures stability, streamlines integration into project workflows, and unlocks access to more advanced project tasks and scaling opportunities.