Ai à Allemagne

We are building LLM evaluation and training datasets to train LLMs to work on realistic software engineering problems. One of our approaches is to build verifiable SWE tasks based on public repository histories in a synthetic manner with human-in-the-loop, expanding dataset coverage across different programming languages, difficulty levels, and more.

About the Role :

We are seeking experienced software engineers (tech lead level) familiar with high-quality public GitHub repositories to contribute to this project. Candidates should have experience with well-maintained, widely-used repositories with 500+ stars. This role involves hands-on software engineering tasks, including environment automation, issue triaging, and evaluating test coverage and quality.

Why Join Us?

Turing is one of the world’s fastest-growing AI companies, advancing the deployment of powerful AI systems. You will evaluate how LLMs interact with real code, influencing the future of AI-assisted software development. This role offers a unique blend of practical software engineering and AI research.

Daily Responsibilities :

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories, including Dockerization and environment setup.
• Evaluate unit test coverage and quality.
• Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
• Collaborate with researchers to identify repositories and issues challenging for LLMs.
• Potential to lead a team of junior engineers on projects.

Required Skills :

• Experience with well-maintained, widely-used repositories with 500+ stars.
• Knowledge of other major languages (e.g., C++, Java, Go) is a plus.
• Proficiency with Git, Docker, and software pipeline setup.
• Ability to understand and navigate complex codebases.
• Comfortable running, modifying, and testing real-world projects locally.
• Experience with open-source contributions or evaluations is advantageous.

Note : Experience with repositories having 500+ stars is required.

Nice to Have :

• Participation in LLM research or evaluation projects.
• Experience building or testing developer tools or automation agents.

Perks of Freelancing With Turing :

• Work remotely in a fully distributed environment.
• Engage in cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.
• Commitment: 20 hours/week with some overlap with PST hours.
• Employment Type: Contractor (no medical or paid leave).
• Contract Duration: 1 month, starting next week.