Remote Senior Software Engineer (LLM) - 34953

Turing; Vancouver; Remote; CAD 70,000 - 110,000; Part time

Job summary

A leading AI company seeks a Remote Senior Software Engineer to work on high-quality evaluation datasets for LLMs. This unique role involves evaluating model-generated code, collaborating with researchers, and influencing dataset design. Ideal candidates have 7+ years of software engineering experience and strong debugging skills.

Qualifications

• 7+ years of professional software engineering experience.
• Strong fundamentals in software design, coding best practices, and debugging.
• Prior experience with LLM-generated code or evaluation work is a plus.

Responsibilities

• Review and compare model-generated code responses using a structured ranking system.
• Evaluate code diffs for correctness, quality, and efficiency.
• Collaborate with the team to identify edge cases in model behavior.

Skills

Software design

Debugging

Code quality assessment

Communication skills

Job description

Remote Senior Software Engineer (LLM) - 34953

Remote Senior Software Engineer (LLM) - 34953

3 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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