Remote Senior Software Engineer - 34123

Turing

San Francisco (CA)

Remote

USD 150,000 - 175,000

Part time

14 days+

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Benefits offered by this job

Work in a fully remote environment

Cutting-edge AI projects

Job summary

Join Turing as a tech lead software engineer to contribute to developing AI-enhanced software engineering solutions. As part of an innovative team, you'll work on high-impact projects, leveraging your skills with public GitHub repositories to improve AI systems. This fully remote contractor role requires 20 hours per week, ideal for those passionate about AI and software development.

Qualifications

Experience working with well-maintained, widely-used repositories with 500+ stars.
Comfortable running, modifying, and testing real-world projects locally.

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.

Skills

Proficiency with Git

Docker

Ability to understand complex codebases

Experience contributing to open-source projects

Job description

1 day ago Be among the first 25 applicants

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. You should have experience working with well-maintained, widely-used repos with 500+ stars. 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.

Required Skills:

Experience working with well-maintained, widely-used repositories with 500+ stars
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.

Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.

Nice to Have: