Remote Senior Software Engineer (LLM) - 34953

Turing; Toronto; Remote; CAD 80,000 - 120,000; Part time

Job summary

A leading AI company is seeking a Remote Senior Software Engineer to evaluate model-generated code and collaborate with AI researchers. Ideal candidates will have 7+ years of experience and strong skills in software design, coding best practices, and communication. The role involves reviewing code quality, providing detailed feedback, and influencing dataset design for training LLMs. Join a dynamic team and contribute to the future of AI-powered software development.

Qualifications

• 7+ years of professional software engineering experience.
• Strong fundamentals in software design and debugging.
• Exceptional written communication skills.

Responsibilities

• Review and compare model-generated code responses.
• Evaluate code diffs for correctness and efficiency.
• Provide clear rationales for ranking decisions.

Skills

Software design

Coding best practices

Debugging

Code quality assessment

Evaluating model-generated code

Written communication

Job description

Remote Senior Software Engineer (LLM) - 34953

20 hours 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.
• Day-to-day responsibilities include:
• 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/Honeywell/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

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology and Engineering

Industries

• Software Development