Job Description & How to Apply Below
This role is for one of our clients
Compensation: $70-$130 per hour
Location Requirements
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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.
Requirements
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.
Key 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
Ideal Qualifications
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, Type Script, 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
Project Details
Start Date:
Immediate
Duration: 1‑2 months
Commitment:
Part‑time (15‑25 hours per week, with flexibility up to 40 hours per week)
Fully remote with flexible scheduling
Application & Onboarding Process
Submit your resume
Participate in a short (approximately 15‑minute) AI‑based conversational interview to discuss your background and interest
Receive follow‑up communication within a few days regarding next steps and onboarding
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
Work assignments will not involve access to confidential or proprietary information from any employer, client, or institution
Payments are processed weekly via Stripe or Wise based on services rendered
Visa sponsorship is not available; H1‑B and STEM OPT candidates cannot be supported at this time
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