4 days ago
Software Engineer - AI Research Annotation
Keystone Recruitment
Hybrid
Contractor
$130,000
Hybrid
Job Overview
Job TitleSoftware Engineer - AI Research Annotation
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$130,000
LocationHybrid
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Job Description
About the Project
Support the development of advanced AI coding capabilities through structured dataset creation. Work with 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
- Use 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
- Duration: 1-2 months with extension opportunities
- Start: Immediate onboarding
- Onboarding: Resume review + 15-minute AI technical interview
- Pace: Self-scheduled within weekly commitment minimum
- Payment: Weekly via Stripe/Wise
Ideal Background
- Computer Science/Software Engineering degree (Bachelor's+)
- Experience with open-source contributions or repository analysis
- Understanding of software development lifecycles and testing
- Comfort working with technical documentation and specifications
Success Profile
Top performers receive rate increases and priority for future AI research projects. Join a cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- AI Research
- Software Engineering
- Code Annotation
- Debugging
- Python
- JavaScript
- Git Workflows
- Technical Documentation
- Problem Solving
- Open Source
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: Customize your resume to highlight software development, AI research annotation, and debugging skills. Emphasize open-source contributions.
- Showcase your AI and coding expertise: Prepare to demonstrate strong proficiency in Python, JavaScript/TypeScript, and experience with complex codebase debugging.
- Prepare for the AI technical interview: Practice articulating technical reasoning and problem-solving approaches clearly for the 15-minute AI technical interview.
- Highlight remote work aptitude: Emphasize your ability to manage self-scheduled tasks and commit to weekly deliverables in a global remote setting.
Frequently Asked Questions
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01What is the typical weekly commitment for the Software Engineer - AI Research Annotation role at Keystone Recruitment?
02What programming languages are essential for this AI Research Annotation position?
03Does Keystone Recruitment offer extensions for the Software Engineer - AI Research Annotation project?
04How will my work impact AI development in this Software Engineer - AI Research Annotation role?
05What is the interview process for the AI Research Annotation role at Keystone Recruitment?
06What kind of codebases will I be working with as a Software Engineer - AI Research Annotation?
07How important is open-source experience for this Software Engineer - AI Research Annotation role?
08How often is payment processed for this independent contractor role with Keystone Recruitment?
09What specific documentation will I create as a Software Engineer - AI Research Annotator?
10Are there opportunities for advancement or future projects at Keystone Recruitment after this AI Research Annotation role?
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