Software Engineer, AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
Software Engineer, AI Research Annotation
Join leading AI labs as a Software Engineer, AI Research Annotation, applying your expertise to significantly improve model reasoning capabilities. This global remote position focuses on reviewing real-world coding tasks and meticulously documenting the problem-solving processes involved.
About the Project
This project is dedicated to supporting the development of advanced AI coding capabilities. You will contribute to structured dataset creation by working with authentic software engineering scenarios sourced from open-source repositories. The goal is to capture realistic developer thought processes, providing invaluable data for training next-generation AI models.
Detailed Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks.
- Reconstruct step-by-step reasoning, thoroughly explaining solution approaches.
- Annotate critical decision points, effective debugging strategies, and technical choices.
- Utilize full codebase context, including issues, tests, and pull requests, to ensure accurate documentation.
- Guarantee that all annotations meticulously reflect authentic and best-practice software engineering methods.
Technical Requirements
- Minimum 2+ years of hands-on software development experience.
- Strong proficiency in programming languages such as Python, JavaScript/TypeScript, or similar.
- Demonstrated experience in debugging complex codebases and effectively resolving technical issues.
- Familiarity with standard Git workflows, including pull requests and issue tracking systems.
- Exceptional ability to clearly and precisely articulate technical reasoning in written form.
Project Structure
- Duration: Initially 1-2 months, with strong potential for extensions.
- Start: Immediate onboarding available.
- Onboarding: Involves a resume review followed by a brief 15-minute AI technical interview.
- Pace: Self-scheduled work within a weekly minimum commitment (15-25 hours, flexible up to 40).
- Payment: Weekly payments processed via Stripe/Wise.
Ideal Background
- A Bachelor's degree or higher in Computer Science, Software Engineering, or a related technical field.
- Prior experience with open-source contributions or in-depth repository analysis.
- A comprehensive understanding of software development lifecycles and various testing methodologies.
- Comfort and proficiency in working with detailed technical documentation and specifications.
Success Profile
High-performing Software Engineer, AI Research Annotation will be eligible for rate increases and receive priority consideration for future advanced AI research projects. This is a unique opportunity to join a distinguished cohort of experienced engineers who are actively shaping the future of coding AI.
Key skills/competency
- AI Research
- Software Engineering
- Code Annotation
- Debugging
- Python
- JavaScript/TypeScript
- Git Workflows
- Problem Solving
- Technical Writing
- Open-Source Contribution
How to Get Hired at Keystone Recruitment
- Understand Keystone Recruitment's role: Recognize they connect talent to leading AI labs for this specialized contract. Focus your application on meeting the project's specific needs.
- Optimize your resume for AI annotation: Highlight 2+ years of software development, strong Python/JavaScript skills, debugging expertise, and any experience with technical writing or open-source contributions to align with the Software Engineer, AI Research Annotation role.
- Prepare for the 15-minute AI technical interview: Brush up on practical coding concepts, debugging strategies, and be ready to articulate your technical reasoning clearly and concisely for Keystone Recruitment's screening.
- Showcase problem-solving and documentation skills: Emphasize experience with analyzing codebases, documenting decision points, and understanding Git workflows, as these are crucial for successful annotation tasks.
- Articulate commitment to detail: Since the role involves meticulous annotation, demonstrate your attention to detail, accuracy, and ability to follow authentic software engineering practices during your application and interview process for Keystone Recruitment.
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