Software Engineer, Trajectory Generation
Keystone Recruitment
Job Overview
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Job Description
Role Overview
Join leading AI labs by applying your software engineering expertise to improve model reasoning. As a Software Engineer, Trajectory Generation, you will review real-world coding tasks and meticulously document problem-solving processes, contributing to advanced AI coding capabilities.
About the Project
This project supports the development of advanced AI coding capabilities through structured dataset creation. You will work with authentic software engineering scenarios from open-source repositories to capture realistic developer thought processes, providing valuable input for next-generation coding AI.
Detailed Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks.
- Reconstruct step-by-step reasoning, explaining solution approaches.
- Annotate decision points, debugging strategies, and technical choices.
- Utilize full codebase context (issues, tests, PRs) for accurate documentation.
- Ensure annotations reflect authentic software engineering practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or similar languages.
- Experience debugging complex codebases and resolving issues.
- Familiarity with Git workflows, pull requests, and issue tracking.
- Ability to articulate technical reasoning clearly in writing.
Project Structure
- Duration: 1-2 months with potential extension opportunities.
- Start: Immediate onboarding.
- Onboarding Process: Resume review followed by a 15-minute AI technical interview.
- Pace: Self-scheduled within a weekly commitment minimum.
- Payment: Weekly via Stripe/Wise.
Ideal Background
- Computer Science/Software Engineering degree (Bachelor's or higher).
- Experience with open-source contributions or repository analysis.
- Understanding of software development lifecycles and testing.
- Comfort working with technical documentation and specifications.
Success Profile
Top performers in the Software Engineer, Trajectory Generation role receive rate increases and priority for future AI research projects. You will join a cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- Software Engineering
- AI Model Reasoning
- Code Review
- Debugging
- Python
- JavaScript
- TypeScript
- Git Workflows
- Technical Documentation
- Problem Solving
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's AI focus: Understand their commitment to cutting-edge AI projects and the types of AI labs they partner with.
- Tailor your resume for AI and coding: Highlight specific experience with Python, JavaScript, debugging, Git, and open-source contributions to match the Software Engineer, Trajectory Generation requirements.
- Prepare for the AI technical interview: Practice articulating your problem-solving process for coding tasks, similar to SWE-bench style challenges, and demonstrate your debugging prowess.
- Showcase clear technical communication: Emphasize your ability to document complex technical reasoning and decision points, as this is central to the trajectory generation role.
- Network effectively: Connect with Keystone Recruitment's talent acquisition specialists on LinkedIn to express your interest and learn more about their AI-focused opportunities.
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