Triages GitHub issues in Rust projects, sets up repositories and tests whether AI agents can fix real bugs. Suits senior Rust engineers familiar with open-source work who can sustain part-time hours.
Sobre la vacante
Job Title: Senior Software Engineer – LLM Evaluation & Repository Validation
About the projects: we are building LLM evaluation and training datasets to train LLM 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 in a synthetic approach with human-in-the-loop ; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.
About the Role: 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 environment automation, issue triaging, and evaluating test coverage and quality
Why Join Us? 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.
What does day-to-day look like :
- Analyze and triage GitHub issues across trending open-source libraries.
- Set up and configure code repositories, including Dockerization and environment setup.
- Evaluating unit test coverage and quality.
- Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
- Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
- Opportunities to lead a team of junior engineers to collaborate on projects.
- Opportunities to lead a team of junior engineers to collaborate on projects.
- Minimum 3+ years of overall experience
- Strong experience with at least one of the following languages: Rust
- Proficiency with Git, Docker, and basic software pipeline setup.
- Ability to understand and navigate complex codebases.
- Comfortable running, modifying, and testing real-world projects locally.
- Experience contributing to or evaluating open-source projects is a plus.
- 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.
- Experience building or testing developer tools or automation agents.
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
- Commitments Required : At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
- Employment type : Contractor assignment (no medical/paid leave)
- Duration of contract : 3 month; [expected start date is next week]
- Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
- Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico
- Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)
Fuente oficial: work.turing.com. Los detalles pueden cambiar; la página de la plataforma tiene la última palabra.¿Hay algún error en esta oferta? Avísanos.
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