Software Engineer, AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
Software Engineer, AI Research Annotation at Keystone Recruitment
Join leading AI labs by applying software engineering expertise to improve model reasoning. Review real-world coding tasks and document problem-solving processes.
Project Overview
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.
Key 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 Expertise Required
- 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 & Logistics
- 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 Candidate Profile
- 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 & Growth Opportunities
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
- AI Research
- Software Engineering
- Code Annotation
- Debugging
- Python
- JavaScript
- Git Workflows
- Technical Documentation
- Problem Solving
- Open Source
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: Highlight your experience in AI, software development, debugging, and code annotation.
- Prepare for the AI technical interview: Focus on demonstrating strong coding, debugging, and Git workflow knowledge.
- Showcase your problem-solving skills: Be ready to articulate your reasoning for complex coding challenges and technical choices.
- Emphasize remote collaboration: Highlight your ability to manage self-scheduled tasks and thrive in a global remote environment.
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