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Remote Senior Software Engineer - 34123

JR United Kingdom

City Of London

Remote

GBP 50,000 - 80,000

Part time

Yesterday
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Job summary

A leading AI company is seeking a Remote Senior Software Engineer to work on LLM evaluation and training datasets. The role involves hands-on software engineering tasks, including analyzing GitHub issues and collaborating with researchers. This unique opportunity blends software engineering with AI research, offering the chance to influence the future of AI-assisted software development.

Benefits

Fully remote environment
Work on cutting-edge AI projects
Potential for contract extension

Qualifications

  • Experience with Git, Docker, and software pipeline setup.
  • Ability to navigate complex codebases.
  • Comfortable running 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.
  • Collaborate with researchers to assess LLM performance.

Skills

Git
Docker
C++
Java
GO
Software pipeline setup
Understanding complex codebases

Job description

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Remote Senior Software Engineer - 34123, london (city of london)

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Client:

Turing

Location:

london (city of london), United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

3

Posted:

23.05.2025

Expiry Date:

07.07.2025

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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 language, difficulty level,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:

  • Working knowledge of other major languages (e.g., C++, Java, GO etc.) is a nice to have.
  • 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.

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.
  • Potential for contract extension based on performance and project needs.
  • Commitment required: 20 hours per week with some overlap with PST
  • Employment type: Contractor position (no medical/paid leave)
  • Duration of contract: 1 month with expected start date as next week
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