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 your software engineering expertise to significantly improve model reasoning. In this role, you will meticulously review real-world coding tasks and thoroughly document problem-solving processes, contributing directly to the advancement of AI coding capabilities.
About the Project
This project supports the development of advanced AI coding capabilities through structured dataset creation. You will work with authentic software engineering scenarios drawn from open-source repositories to capture realistic developer thought processes, providing invaluable data for AI model training.
Detailed Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks.
- Reconstruct step-by-step reasoning, meticulously explaining solution approaches.
- Annotate critical decision points, effective debugging strategies, and underlying technical choices.
- Utilize full codebase context, including issues, tests, and pull requests, for accurate documentation.
- Ensure all annotations rigorously reflect authentic software engineering best practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or similar modern programming languages.
- Proven experience debugging complex codebases and effectively resolving issues.
- Familiarity with Git workflows, pull requests, and issue tracking systems.
- Exceptional ability to articulate technical reasoning clearly and concisely in written form.
Project Structure
- Duration: Initial 1-2 months, with excellent opportunities for extension.
- Start: Immediate onboarding available for qualified candidates.
- Onboarding Process: Includes a resume review followed by a brief 15-minute AI technical interview.
- Pace: Enjoy the flexibility of self-scheduled work within a minimum weekly commitment.
- Payment: Receive weekly payments conveniently via Stripe/Wise.
Ideal Background
- A Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
- Prior experience with open-source contributions or in-depth repository analysis.
- A solid understanding of software development lifecycles and comprehensive testing methodologies.
- Comfort working proficiently with technical documentation and specifications.
Success Profile
Top performers in this role are recognized with rate increases and receive priority consideration for exciting future AI research projects. You will join a distinguished cohort of experienced engineers who are actively shaping the next generation of coding AI.
Key skills/competency
- AI Research
- Code Annotation
- Software Development
- Python
- JavaScript
- Debugging
- Git Workflows
- Problem Solving
- Technical Documentation
- Open Source Contribution
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your Resume: Customize your resume to highlight software engineering, AI annotation, and debugging experience, emphasizing relevant projects.
- Showcase Technical Writing: Prepare to demonstrate your ability to articulate complex technical reasoning clearly and concisely in writing.
- Master Technical Interview Prep: Be ready for a focused 15-minute AI technical interview covering coding and problem-solving scenarios.
- Emphasize Project Experience: Detail any open-source contributions or repository analysis experience prominently in your application.
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