Software Engineer, AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
About the Software Engineer, AI Research Annotation Role
Join Keystone Recruitment in a pivotal role as a Software Engineer, AI Research Annotation, supporting leading AI labs to enhance model reasoning. This global remote position involves reviewing real-world coding tasks and meticulously documenting problem-solving processes to contribute to cutting-edge AI development.
Project Overview
The project focuses on developing advanced AI coding capabilities through structured dataset creation. You will work with authentic software engineering scenarios sourced from open-source repositories, capturing realistic developer thought processes to improve AI models.
Key Responsibilities
- Review AI-generated code trajectories on SWE-bench style tasks, critically evaluating their performance.
- Reconstruct step-by-step reasoning, providing clear explanations of solution approaches.
- Annotate crucial decision points, effective debugging strategies, and underlying technical choices made during development.
- Utilize full codebase context, including issues, tests, and pull requests, to ensure accurate and comprehensive documentation.
- Guarantee that all annotations meticulously reflect authentic and high-quality software engineering practices.
Technical Requirements
- A minimum of 2 years of hands-on software development experience.
- Strong proficiency in programming languages such as Python, JavaScript/TypeScript, or other similar relevant languages.
- Demonstrated experience in debugging complex codebases and effectively resolving intricate technical issues.
- Familiarity with standard Git workflows, including pull requests and issue tracking systems.
- Exceptional ability to articulate technical reasoning clearly, concisely, and accurately in written form.
Project Structure & Logistics
This is an independent contractor role with a duration of 1-2 months, offering potential extension opportunities. Onboarding is immediate, following a resume review and a brief 15-minute AI technical interview. The pace is self-scheduled within a weekly commitment of 15-25 hours, flexible up to 40 hours. Payment is processed weekly via Stripe/Wise.
Ideal Background
- Bachelor's degree or higher in Computer Science or Software Engineering.
- 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 specifications.
Success & Growth Opportunities
Top-performing contractors are recognized with rate increases and receive priority consideration for future AI research projects. This is a unique opportunity to join a cohort of experienced engineers actively shaping the next generation of coding AI.
Key skills/competency
- Software Engineering
- AI Research
- Code Annotation
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem-Solving
- SWE-bench
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their approach to talent acquisition.
- Tailor your resume meticulously: Highlight your 2+ years of software development experience, proficiency in Python or JavaScript, and debugging skills, aligning with the Software Engineer, AI Research Annotation role requirements.
- Showcase open-source contributions: Emphasize any experience with open-source projects or repository analysis, demonstrating your practical understanding of software development lifecycles.
- Prepare for technical interviews: Expect a focused 15-minute AI technical interview. Practice articulating complex technical reasoning clearly and demonstrating your debugging prowess.
- Network effectively: Connect with current and former Keystone Recruitment contractors or employees on LinkedIn to gain insights into their project experiences and application process.
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