Software Engineer - AI Research Annotation
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Job Overview
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Job Description
About the Role: Software Engineer - AI Research Annotation
Join leading AI labs by applying your software engineering expertise to improve model reasoning. In this role, you will review real-world coding tasks and meticulously document problem-solving processes, contributing directly to the advancement of artificial intelligence.
This is a Global Remote, Hourly Independent Contractor position with flexible hours, ranging from 15-25 hours/week, with potential for up to 40 hours.
About the Project
You will support the development of advanced AI coding capabilities through structured dataset creation. Your work will involve authentic software engineering scenarios drawn from open-source repositories to capture realistic developer thought processes and enhance AI models.
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 of 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 will 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
- Annotation
- Model Reasoning
- Software Development
- Python
- JavaScript
- Debugging
- Git Workflows
- Code Documentation
- Open-Source Contribution
How to Get Hired at Get Offers
- Research Get Offers' AI vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their impact in AI research.
- Highlight relevant AI/ML experience: Customize your resume to showcase projects involving AI model improvement, data annotation, or structured dataset creation.
- Demonstrate deep coding and debugging skills: Emphasize your proficiency in Python, JavaScript, and your experience debugging complex codebases, crucial for this role.
- Articulate technical reasoning clearly: Prepare to thoroughly explain your problem-solving processes, decision points, and technical choices during interviews.
- Showcase open-source contributions: Detail your experience with Git workflows, pull requests, and issue tracking, demonstrating your comfort with collaborative coding environments.
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