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 significantly improve AI model reasoning. This role involves reviewing real-world coding tasks and meticulously documenting the problem-solving processes.
About the Project
You will support the development of advanced AI coding capabilities through the creation of structured datasets. This project focuses on working with authentic software engineering scenarios derived from open-source repositories to accurately capture realistic developer thought processes.
Detailed Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks.
- Reconstruct step-by-step reasoning, thoroughly explaining solution approaches.
- Annotate decision points, debugging strategies, and technical choices made during development.
- Utilize full codebase context, including issues, tests, and pull requests, to ensure accurate documentation.
- Ensure all annotations reflect authentic and practical software engineering practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or similar programming languages.
- Demonstrated experience in debugging complex codebases and effectively resolving issues.
- Familiarity with Git workflows, including pull requests, and issue tracking systems.
- Ability to clearly and concisely articulate technical reasoning in written form.
Project Structure
The project duration is initially 1-2 months, with strong potential for extension opportunities. Onboarding is immediate, starting with a resume review and a brief 15-minute AI technical interview. The pace is self-scheduled, adhering to a weekly commitment minimum of 15-25 hours (flexible up to 40 hours). Payment is processed weekly via Stripe/Wise.
Ideal Background
- Bachelor's degree or higher in Computer Science/Software Engineering.
- Experience with open-source contributions or in-depth repository analysis.
- A solid understanding of software development lifecycles and various testing methodologies.
- Comfort working with comprehensive technical documentation and specifications.
Success Profile
Top performers in this role are eligible for rate increases and receive priority consideration for future AI research projects. This is an exceptional opportunity to join a cohort of experienced engineers dedicated to shaping the next generation of coding AI.
Key skills/competency
- AI Research
- Software Engineering
- Python
- JavaScript/TypeScript
- Code Debugging
- Git Workflows
- Technical Documentation
- Data Annotation
- Open-source Contribution
- AI Model Reasoning
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission and values, particularly regarding AI innovation and remote work opportunities.
- Customize your resume: Highlight software engineering, Python/JavaScript, debugging, and AI research annotation skills for this specific role.
- Showcase relevant experience: Emphasize open-source contributions, Git workflow proficiency, and clear technical writing abilities.
- Prepare for the AI technical interview: Practice explaining code logic and debugging strategies clearly and concisely.
- Articulate your passion: During interviews, clearly express your interest in AI development and improving model reasoning.
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