Compensation: $70-$130 per hour We are seeking experienced Software Engineers to contribute to high-impact research collaborations with leading AI labs. In this role, you will help build high-quality training datasets that enhance AI models' reasoning and problem-solving capabilities on real-world software engineering tasks. Since many closed-source models do not expose internal reasoning traces, this project focuses on reconstructing and annotating the reasoning process behind model-generated solutions.

Using your own problem-solving expertise and the full technical context of each task, you will infer and articulate the underlying chain-of-thought that explains how a solution is derived step by step. Review model-generated code trajectories on realistic software engineering tasks Analyze full task context, including codebases, issue descriptions, and test cases Ensure annotations reflect accurate, realistic developer reasoning and technical soundness Deliver structured,



high-quality written explanations aligned with engineering best practices 2+ years of hands‑on software engineering experience working with real-world codebases ~ Bachelor's degree in Computer Science, Software Engineering, or a related field (advanced degree preferred) ~ Strong proficiency in Python, JavaScript, TypeScript, or similar commonly used open‑source languages ~ Ability to clearly articulate technical reasoning in structured written form Project Details Start Date: Immediate Commitment: Part‑time (15‑25 hours per week, with flexibility up to 40 hours per week) Fully remote with adaptable scheduling Participate in a short (approximately 15‑minute) AI‑based conversational interview to discuss your background and interest Contract & Payment Terms Engagement will be structured as an independent contractor agreement Work can be completed remotely on your own schedule Projects may be extended, shortened, or concluded early based on performance and business needs

📌 Software Development Engineer - Remote (Montreal)
🏢 Weekday AI (YC W21)
📍 Montreal