Software Engineer (Trajectory)

Weekday AI

7h • $70 - $130 • Remote

About The Position

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.
This is a unique opportunity to apply your practical development experience to advance the next generation of intelligent systems.
You will work on annotating frontier-model trajectories across SWE-bench–style tasks derived from real-world open-source repositories. 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.

Requirements

• 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
• Familiarity with Git workflows, pull requests, and issue tracking systems
• Strong debugging and analytical skills
• Ability to clearly articulate technical reasoning in structured written form

Responsibilities

• Review model-generated code trajectories on realistic software engineering tasks
• Reconstruct detailed reasoning steps that explain the solution process
• Annotate key decision points, debugging logic, and problem-solving strategies
• 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

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level