AI Research Annotation Software Engineer
Keystone Recruitment
Job Overview
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Job Description
About the AI Research Annotation Software Engineer Role
Keystone Recruitment is seeking an AI Research Annotation Software Engineer to join leading AI labs. In this global remote, hourly independent contractor role, you will apply your software engineering expertise to enhance AI model reasoning by reviewing real-world coding tasks and meticulously documenting problem-solving processes. This project supports the development of advanced AI coding capabilities through structured dataset creation, utilizing authentic software engineering scenarios from open-source repositories to capture realistic developer thought processes.
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 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 & Ideal Background
This role offers a 1-2 month duration with potential for extensions, with immediate onboarding. The pace is self-scheduled within a weekly commitment minimum of 15-25 hours (flexible up to 40 hours), and payment is weekly via Stripe/Wise. Ideal candidates possess a Computer Science/Software Engineering degree (Bachelor's+), experience with open-source contributions or repository analysis, a solid understanding of software development lifecycles and testing, and comfort working with technical documentation and specifications. Top performers may receive rate increases and priority for future AI research projects, joining a cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- Software Engineering
- AI Research
- Data Annotation
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem Solving
- Code Review
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.
- Tailor your resume for AI roles: Customize your resume to highlight software engineering, AI, and annotation experiences, using keywords from the job description.
- Showcase your technical depth: Prepare to discuss specific examples of debugging complex codebases and your proficiency in Python or JavaScript/TypeScript.
- Demonstrate strong communication: Practice articulating your technical reasoning clearly, as documentation and explanation are key components of this annotation role.
- Highlight open-source contributions: Emphasize any experience with open-source projects, repository analysis, or structured data creation in your application and interviews.
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