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. Review real-world coding tasks and document problem-solving processes.
About the Project
Support development of advanced AI coding capabilities through structured dataset creation. Work with authentic software engineering scenarios from open-source repositories to capture realistic developer thought processes.
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
- Use 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
- Duration: 1-2 months with extension opportunities
- Start: Immediate onboarding
- Onboarding: Resume review + 15-minute AI technical interview
- Pace: Self-scheduled within weekly commitment minimum
- Payment: 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 receive rate increases and priority for future AI research projects. Join cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- Software Engineering
- AI Research
- Code Annotation
- Debugging
- Python
- JavaScript
- Git Workflows
- Technical Documentation
- Problem Solving
- Code Analysis
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Understand their focus on connecting talent with AI labs and independent contractor models.
- Tailor your resume for AI Annotation: Highlight your software development, debugging, and precise technical writing skills, emphasizing Python/JavaScript and Git.
- Prepare for the AI technical interview: Expect questions on code analysis, debugging strategies, and articulating complex technical reasoning clearly.
- Showcase your open-source contributions: Emphasize any experience with repository analysis or documenting software development lifecycles.
- Demonstrate clear communication: Practice explaining technical decisions and debugging processes concisely, crucial for annotation tasks.
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