AI Research Annotation Software Engineer
Quik Hire Staffing
Job Overview
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Job Description
AI Research Annotation Software Engineer
Join leading AI labs by applying software engineering expertise to improve model reasoning. As an AI Research Annotation Software Engineer, you will review real-world coding tasks and document problem-solving processes.
About the Project
Support the development of advanced AI coding capabilities through structured dataset creation. This involves working 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 in this AI Research Annotation Software Engineer role 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
- Code Annotation
- Software Development
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem Solving
- Dataset Creation
How to Get Hired at Quik Hire Staffing
- Research Quik Hire Staffing's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience in AI, software engineering, and code annotation.
- Showcase technical skills: Emphasize proficiency in Python, debugging, Git, and clear technical communication.
- Prepare for the AI technical interview: Practice explaining code trajectories, debugging, and software engineering reasoning.
- Demonstrate open-source engagement: Highlight any contributions or analysis of open-source projects.
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