About the projects: We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches in this project is to build verifiable SWE tasks based on public repository histories using a synthetic approach with a human-in-the-loop, while expanding dataset coverage to include different types of tasks across programming languages, difficulty levels, etc.

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. This role involves hands-on software engineering work, including development workplace automation, issue triaging, and evaluating test coverage and quality

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development.



This is a unique opportunity to blend practical software engineering with AI research

Evaluate unit test coverage and quality.

Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.

Opportunities to lead a team of junior engineers to collaborate on projects.

Minimum 3+ years of overall experience

Solid experience with at least one of the following languages: Ruby

Proficiency with Git, Docker, and basic software pipeline setup.

Comfortable running, modifying, and testing real-world projects locally.

Experience contributing to or evaluating open-source projects is a plus.

Previous participation in LLM research or evaluation projects.

Experience building or testing developer tools or automation agents.

Perks of Freelancing With Turing:

Work in a fully remote environment.

Opportunity to work on cutting-edge AI projects with leading LLM companies.

Contractor assignment (no medical/paid leave)

📌 Remote Software Engineer (India)
🏢 Turing
📍 India