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Remote Senior Software Engineer (LLM) - 34953

Turing

London

Remote

GBP 90,000 - 120,000

Full time

4 days ago
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Job summary

A leading AI company seeks a Remote Senior Software Engineer to work on high-impact projects evaluating the performance of Large Language Models. The position requires extensive software engineering experience, particularly in debugging and assessing code quality. You will be collaborating with AI researchers, improving LLM interactions with realistic software engineering tasks, and providing insights that influence future AI developments.

Qualifications

  • 7+ years of professional software engineering experience.
  • Strong fundamentals in software design and coding best practices.
  • Excellent ability to assess code quality.

Responsibilities

  • Review model-generated code responses using a structured ranking system.
  • Evaluate code quality, style, and efficiency.
  • Provide clear rationales for evaluation decisions.

Skills

Software design
Debugging
Code review
Communication

Job description

Remote Senior Software Engineer (LLM) - 34953
Remote Senior Software Engineer (LLM) - 34953

2 days ago Be among the first 25 applicants

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.

Project Overview

We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process.

Why This Role Is Unique

  • Collaborate directly with AI researchers shaping the future of AI-powered software development.
  • Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks.
  • Influence dataset design that will train and benchmark next-gen LLMs.
  • What does day-to-day look like:
  • Review and compare 3–4 model-generated code responses for each task using a structured ranking system.
  • Evaluate code diffs for correctness, code quality, style, and efficiency.
  • Provide clear, detailed rationales explaining the reasoning behind each ranking decision.
  • Maintain high consistency and objectivity across evaluations.
  • Collaborate with the team to identify edge cases and ambiguities in model behavior.

Required Skills

  • 7+ years of professional software engineering experience, ideally at top-tier product companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify,Intuit,PayPal, Research at IBM/GE/Honewell/Scheinder etc. ).
  • Strong fundamentals in software design, coding best practices, and debugging.
  • Excellent ability to assess code quality, correctness, and maintainability.
  • Proficient with code review processes and reading diffs in real-world repositories.
  • Exceptional written communication skills to articulate evaluation rationale clearly.
  • Prior experience with LLM-generated code or evaluation work is a plus.

Bonus Points

  • Experience in LLM research, developer agents, or AI evaluation projects.
  • Background in building or scaling developer tools or automation systems.
  • Commitment: ~20 hours/week (partial PST overlap required)
  • Type: Contractor (no medical/paid leave)
  • Duration: 1 month (starting next week; potential extensions based on performance and fit)
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology and Engineering
  • Industries
    Software Development

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