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 improve model reasoning. In this role, you will review real-world coding tasks and meticulously document problem-solving processes to advance cutting-edge 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, contributing directly to the intelligence of future AI systems.
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, for accurate documentation.
- Ensure all annotations reflect authentic software engineering best practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or similar widely used programming languages.
- Proven experience in debugging complex codebases and effectively resolving intricate issues.
- Familiarity with Git workflows, including pull requests and issue tracking systems.
- Exceptional ability to articulate complex technical reasoning clearly and concisely in written form.
Project Structure & Logistics
- Duration: 1-2 months, with potential for extension opportunities based on performance and project needs.
- Start: Immediate onboarding available for qualified candidates.
- Onboarding Process: Includes a resume review followed by a brief 15-minute AI technical interview.
- Pace: Self-scheduled within a defined weekly commitment minimum, allowing for flexibility.
- Payment: Weekly payments processed securely via Stripe/Wise.
Ideal Background
- A Bachelor's degree or higher in Computer Science, Software Engineering, or a closely related field.
- Previous experience with open-source contributions or in-depth repository analysis is highly valued.
- A solid understanding of software development lifecycles and various testing methodologies.
- Comfort and proficiency in 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. Join an exclusive cohort of experienced engineers who are actively shaping the next generation of coding AI.
Key skills/competency
- AI Research Annotation
- Software Development
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Codebase Analysis
- Technical Documentation
- Problem-Solving
- AI Model Reasoning
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, and client focus in AI and software engineering.
- Tailor your resume for AI annotation: Highlight your Python/JavaScript skills, debugging experience, and any work with code analysis or documentation.
- Prepare for the AI technical interview: Brush up on core software engineering principles and be ready to articulate your problem-solving process concisely.
- Showcase attention to detail: Emphasize your ability to meticulously document complex technical reasoning, crucial for AI research annotation.
- Demonstrate remote work proficiency: Highlight your self-management skills and ability to thrive in a global remote independent contractor setting.
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