Software Engineer - AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
About the Software Engineer - AI Research Annotation Role at Keystone Recruitment
Join leading AI labs as a Software Engineer - AI Research Annotation, applying your software engineering expertise to enhance AI model reasoning. This global remote role involves reviewing real-world coding tasks and meticulously documenting problem-solving processes to support the development of advanced AI coding capabilities.
This project focuses on creating structured datasets for advanced AI coding. You will work with authentic software engineering scenarios derived from open-source repositories, capturing realistic developer thought processes to improve 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 extension opportunities.
- Start: Immediate onboarding.
- Onboarding: Resume review plus a 15-minute AI technical interview.
- Pace: Self-scheduled within a weekly commitment minimum of 15-25 hours (flexible up to 40 hours).
- Payment: Weekly via Stripe/Wise.
Ideal Background
- Computer Science/Software Engineering degree (Bachelor's+).
- 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 will receive rate increases and priority for future AI research projects. This is an opportunity to join a cohort of experienced engineers actively shaping the future of coding AI.
Key Skills/Competency
- Software Engineering
- AI Research
- Code Annotation
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem Solving
- AI Model Reasoning
- Open Source Contributions
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, and client focus, especially within AI research.
- Tailor your resume: Highlight software engineering, AI annotation, Python/JavaScript, and debugging skills.
- Showcase AI/open-source projects: Emphasize relevant contributions or experience analyzing repositories effectively.
- Prepare for the AI technical interview: Practice explaining complex code trajectories and debugging approaches thoroughly.
- Articulate technical reasoning: Demonstrate clear written and verbal communication of technical decisions and problem-solving processes.
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