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 software engineering expertise to improve model reasoning. This role involves reviewing real-world coding tasks and meticulously documenting problem-solving processes.
About the Project
This project supports the development of advanced AI coding capabilities through the creation of structured datasets. You will work with authentic software engineering scenarios drawn from open-source repositories to capture realistic developer thought processes and contribute to cutting-edge AI research.
Detailed Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks.
- Reconstruct step-by-step reasoning, explaining various solution approaches.
- Annotate decision points, debugging strategies, and technical choices.
- Utilize full codebase context, including issues, tests, and pull requests, for accurate documentation.
- Ensure all annotations accurately reflect authentic software engineering practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or similar languages.
- Demonstrated experience debugging complex codebases and effectively resolving issues.
- Familiarity with Git workflows, pull requests, and issue tracking systems.
- Ability to articulate technical reasoning clearly and concisely in writing.
Project Structure
- Duration: 1-2 months, with strong extension opportunities.
- Start: Immediate onboarding available.
- Onboarding: Involves a resume review followed by a 15-minute AI technical interview.
- Pace: Self-scheduled within a weekly commitment minimum.
- Payment: Weekly via Stripe/Wise.
Ideal Background
- Computer Science/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 receive rate increases and priority consideration for future AI research projects. This is an opportunity to join a cohort of experienced engineers dedicated to shaping the next-generation of coding AI.
Apply Now
To apply, upload your resume and complete a brief technical screening. All qualified software engineers are welcome, regardless of background.
Key skills/competency
- Software Engineering
- AI Research
- Python
- JavaScript/TypeScript
- Debugging
- Git
- Open-source
- Data Annotation
- Model Reasoning
- Problem Solving
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: Customize your application to highlight software engineering, AI, and annotation skills relevant to this specific role.
- Showcase open-source contributions: Emphasize any experience with public repositories, debugging complex code, and contributing to software projects.
- Prepare for a technical interview: Practice coding challenges and be ready for questions on Python/JavaScript, debugging strategies, and Git workflows.
- Articulate problem-solving clearly: Hone your ability to explain technical choices, reasoning processes, and debugging approaches effectively in writing and verbally.
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