Remote Senior Software Engineer - 34123

ZipRecruiter; Altrincham; Remote; GBP 50,000 - 80,000; Part time

Job summary

Join a leading AI company focused on developing datasets for LLMs. As a tech lead engineer, you'll scrutinize high-quality GitHub repositories and enhance software performance with innovative AI applications. This remote role is a unique opportunity to combine software engineering expertise with cutting-edge AI research.

Benefits

Fully remote environment

Work on cutting-edge AI projects

Qualifications

• Experience with widely-used repositories (500+ stars) required.
• Proficiency with Git and Docker is essential.
• Experience in evaluating open-source projects is a bonus.

Responsibilities

• Analyze and triage GitHub issues across trending open-source libraries.
• Set up and configure code repositories and Docker environment.
• Collaborate with researchers on challenging LLM issues.

Skills

Python

JavaScript

Java

Go

Rust

C/C++

C#

Ruby

Git

Docker

Open-source evaluation

Job description

Job Description

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 , 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:

• Strong experience with at least one of the following : Python, JavaScript, Java, Go, Rust, C/C++, C#, or Ruby.
• 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:

• 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.

Offer details:

• Commitment required: 20 hours per week with some overlap with PST
• Employment type: Contractor assignment (no medical/paid leave)
• Duration of contract: 1 month with expected start date as next week