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Remote Senior Software Engineer (LLM) - 34953

Turing

United Kingdom

Remote

USD 130,000 - 150,000

Part time

2 days ago

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Job summary

A leading AI company is seeking a Remote Senior Software Engineer (LLM) to work on innovative AI-assisted software development projects. The role involves evaluating code quality on real-world tasks and collaborating with researchers to enhance large language models' performance. Candidates should have extensive experience in software engineering and a strong foundation in code assessment, with a commitment of approximately 20 hours per week.

Qualifications

7+ years of professional software engineering experience.
Strong fundamentals in software design and coding best practices.
Proficient with code review processes.

Responsibilities

Evaluate model-generated code responses for task accuracy and quality.
Maintain objective evaluations and provide rationale for rankings.
Collaborate with AI researchers on model behavior.

Skills

Software engineering

Code quality assessment

Debugging

Written communication

Proficiency with code review

Knowledge of LLM-generated code

Remote Senior Software Engineer (LLM) - 34953

1 day 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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