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. In this role, you will review real-world coding tasks and meticulously document problem-solving processes to support the development of advanced AI coding capabilities.
This project focuses on structured dataset creation, working with authentic software engineering scenarios drawn from open-source repositories. Your contributions will capture realistic developer thought processes, ensuring that AI models learn from genuine development practices.
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, including issues, tests, and pull requests, for accurate documentation.
- Ensure annotations consistently reflect authentic software engineering practices.
Technical Requirements
- 2+ years of 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 potential for extension opportunities.
- Start: Immediate onboarding available.
- Onboarding: Includes a resume review and a 15-minute AI technical interview.
- Pace: Self-scheduled within a weekly commitment minimum.
- Payment: Weekly via Stripe/Wise.
Ideal Background
- Computer Science or Software Engineering degree (Bachelor's or higher).
- Experience with open-source contributions or repository analysis.
- Understanding of software development lifecycles and testing methodologies.
- Comfort working with technical documentation and specifications.
Success Profile
Top performers in this role will be eligible for rate increases and receive priority for future AI research projects. Join a cohort of experienced engineers who are actively shaping the next-generation of coding AI.
Key skills/competency
- AI Research Annotation
- Software Engineering
- Python Development
- JavaScript/TypeScript
- Debugging Complex Code
- Git Workflows
- Technical Documentation
- Problem-Solving
- Open-Source Contributions
- AI Model Reasoning
How to Get Hired at Keystone Recruitment
- Understand Keystone Recruitment's role: As a recruiting firm, they connect you to AI labs. Focus your application on aligning with the project's needs (AI research, software engineering) rather than the recruiter's internal culture.
- Tailor your resume for AI annotation: Highlight 2+ years of software development, Python/JavaScript skills, debugging, Git, and any experience with open-source or technical writing. Emphasize your ability to explain complex code.
- Prepare for the AI technical interview: Expect questions on debugging, code analysis, and articulating technical decisions. Practice explaining your thought process for solving coding problems.
- Showcase detailed reasoning skills: During interviews, demonstrate your ability to break down complex problems and explain solutions step-by-step, mirroring the job's annotation requirement.
- Highlight remote work suitability: Emphasize your self-management skills and ability to thrive in a global remote, flexible, independent contractor setup.
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