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.
Apply Now
Upload resume + complete brief technical screening. All qualified software engineers welcome regardless of background.
Key skills/competency
- AI Research
- Annotation
- Code Review
- Debugging
- Problem Solving
- Data Labeling
- Technical Writing
- Python
- JavaScript
- Git Workflows
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.
- Tailor your resume: Customize your resume to highlight experience in Python/JavaScript, debugging, Git, and AI research annotation, using keywords from the job description.
- Prepare for the technical interview: Sharpen your software development, debugging, and coding annotation skills, especially in Python, JavaScript, and Git workflows.
- Showcase your communication skills: Be ready to articulate complex technical reasoning clearly, as documenting problem-solving is central to this Software Engineer - AI Research Annotation role.
- Highlight open-source contributions: Emphasize any experience with open-source projects or repository analysis to demonstrate understanding of real-world development cycles.
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