AI Research Annotation Software Engineer
Keystone Recruitment
Job Overview
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Job Description
AI Research Annotation Software Engineer at Keystone Recruitment
Join leading AI labs as an AI Research Annotation Software Engineer, applying your software engineering expertise to significantly improve AI model reasoning. This global remote position involves reviewing real-world coding tasks and meticulously documenting problem-solving processes to support the development of advanced AI coding capabilities.
Project Overview
This project focuses on creating structured datasets for advanced AI coding. You will work with authentic software engineering scenarios drawn from open-source repositories, capturing realistic developer thought processes to inform the next generation of 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
- 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 (15-25 hours/week, flexible up to 40).
- 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 will receive rate increases and priority for future AI research projects, joining a cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- Software Engineering
- AI Research
- Code Annotation
- Debugging
- Python
- JavaScript
- TypeScript
- Git Workflows
- Technical Documentation
- Problem Solving
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's mission: Study their role in connecting talent with advanced AI projects globally.
- Tailor your resume for AI annotation: Highlight experience in debugging, code review, technical writing, and open-source contributions.
- Showcase Python/JavaScript expertise: Emphasize projects involving complex codebases, Git workflows, and problem-solving.
- Prepare for the AI technical interview: Practice articulating step-by-step problem-solving and technical decision-making processes clearly.
- Demonstrate clear communication: Emphasize your ability to document complex technical reasoning and choices effectively.
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