Software Engineer, AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
Software Engineer, AI Research Annotation at Keystone Recruitment
Join leading AI labs by applying your software engineering expertise to significantly improve AI model reasoning. In this role, you will meticulously review real-world coding tasks and comprehensively document the problem-solving processes involved.
About the Project
This project supports the development of advanced AI coding capabilities through the structured creation of high-quality datasets. You will engage with authentic software engineering scenarios sourced from open-source repositories, capturing realistic developer thought processes to inform and refine 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 underlying technical choices.
- Utilize full codebase context, including issues, tests, and pull requests, to ensure accurate and comprehensive documentation.
- Ensure all annotations precisely reflect authentic software engineering best practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or other similar programming languages.
- Proven experience debugging complex codebases and effectively resolving intricate issues.
- Familiarity with standard Git workflows, including pull requests and issue tracking systems.
- Exceptional ability to clearly and concisely articulate technical reasoning in written form.
Project Structure
- Duration: Initially 1-2 months, with strong potential for extension opportunities.
- Start: Immediate onboarding is available.
- Onboarding Process: Includes a resume review followed by a brief 15-minute AI technical interview.
- Pace: Self-scheduled work within a committed weekly minimum.
- 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.
- Previous experience with open-source contributions or in-depth repository analysis.
- A solid understanding of software development lifecycles and various testing methodologies.
- Comfort and proficiency in working with technical documentation and detailed specifications.
Success Profile
Top-performing independent contractors will be eligible for rate increases and receive priority consideration for future AI research projects. Join an exclusive cohort of experienced engineers actively shaping the next generation of coding AI.
Key skills/competency
- AI Research Annotation
- Software Development
- Python Programming
- JavaScript/TypeScript
- Code Debugging
- Git Workflows
- Technical Documentation
- Problem-Solving
- Open-Source Contributions
- SWE-bench Tasks
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission in AI research, values, and project focus.
- Tailor your resume: Highlight your 2+ years of software development experience, Python/JavaScript proficiency, and debugging skills.
- Showcase relevant projects: Emphasize open-source contributions or any experience with code analysis and technical documentation.
- Prepare for the AI technical interview: Practice articulating your problem-solving process and debugging strategies clearly.
- Demonstrate clear communication: Success in this role requires excellent written articulation of technical reasoning.
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