Software Engineer, AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
About the Role: Software Engineer, AI Research Annotation
Join leading AI labs as a Software Engineer specializing in AI Research Annotation. This global remote position offers you the opportunity to apply your software engineering expertise to significantly improve AI model reasoning. You will review real-world coding tasks and meticulously document problem-solving processes, contributing to the development of advanced AI coding capabilities.
Project Overview
This project focuses on structured dataset creation, working with authentic software engineering scenarios derived from open-source repositories. Your role is crucial in capturing realistic developer thought processes, which will inform and enhance next-generation 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 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 extensions.
- Start: Immediate onboarding available.
- Onboarding Process: 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.
- Comfort working with technical documentation and specifications.
Success Profile
Top performers in this role are recognized with rate increases and receive priority for future AI research projects. Join an exclusive cohort of experienced engineers dedicated to shaping the future of coding AI.
Key skills/competency
- AI Research
- Software Engineering
- Code Annotation
- Python
- JavaScript
- TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem Solving
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent projects, and any available contractor testimonials.
- Tailor your resume for AI annotation: Highlight your software engineering expertise, particularly in Python or JavaScript, debugging, and technical writing.
- Showcase open-source contributions: Emphasize any experience with repository analysis or contributions to align with project specifics.
- Prepare for the AI technical interview: Brush up on coding fundamentals, debugging strategies, and articulating technical decisions clearly.
- Articulate reasoning effectively: Practice explaining complex technical concepts and problem-solving approaches in a clear, concise manner.
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