Software Engineer, AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
Software Engineer, AI Research Annotation
Join leading AI labs by applying software engineering expertise to improve model reasoning. As a Software Engineer, AI Research Annotation, you will review real-world coding tasks and document problem-solving processes, directly contributing to the development of 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 critical insights for AI model training.
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 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
This is a 1-2 month project with potential for extensions. Immediate onboarding is available, with a self-scheduled weekly commitment of 15-25 hours (flexible up to 40 hours). Payment is processed weekly via Stripe/Wise, and the onboarding process includes a resume review and a 15-minute AI technical interview.
Ideal Background
- Computer Science/Software Engineering degree (Bachelor's+).
- 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 will receive rate increases and priority for future AI research projects. This is an opportunity to join a cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- Software Development
- AI Research
- Code Annotation
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Open Source
- Technical Writing
- Problem Solving
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Customize your resume: Highlight software development experience, especially with Python, JavaScript/TypeScript, debugging, and Git, to match the Software Engineer, AI Research Annotation role requirements.
- Showcase AI and open-source contributions: Emphasize any projects or experience with AI, code annotation, or significant open-source contributions to demonstrate direct relevance.
- Prepare for technical interviews: Practice articulating your problem-solving process and debugging strategies, as the role involves a 15-minute AI technical interview at Keystone Recruitment.
- Demonstrate strong written communication: As documenting technical reasoning is key, prepare to showcase your ability to clearly articulate complex technical choices in writing.
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