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 your software engineering expertise to improve model reasoning. This role involves reviewing real-world coding tasks and meticulously documenting problem-solving processes.
About the Project
Support 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, contributing directly to 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 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 extension opportunities, offering immediate onboarding. The pace is self-scheduled within a weekly commitment minimum of 15-25 hours (flexible up to 40). Payment is weekly via Stripe/Wise.
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, becoming part of an experienced cohort shaping cutting-edge coding AI. All qualified software engineers are welcome regardless of background.
Key skills/competency
- AI Research
- Software Engineering
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Code Annotation
- Technical Documentation
- Open-Source Contribution
- Problem Solving
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, and how they engage with contractors and AI projects.
- Tailor your resume: Highlight your 2+ years of software development, Python/JavaScript skills, and debugging experience for AI annotation roles.
- Showcase relevant projects: Emphasize open-source contributions or projects involving code analysis, documentation, or complex debugging.
- Prepare for the technical interview: Expect questions on software development practices, debugging methodologies, and articulating technical reasoning.
- Demonstrate clear communication: Practice explaining complex technical concepts concisely, a key requirement for annotation tasks.
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