Job Overview
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Job Description
Software Engineer AI Research Annotation
Join leading AI labs by applying software engineering expertise to improve model reasoning. Review real-world coding tasks and document problem-solving processes.
About the Project
Support 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
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.
Apply Now
Upload resume + complete brief technical screening. All qualified software engineers welcome regardless of background.
Key skills/competency
- Software Engineering
- AI Research
- Python
- JavaScript
- TypeScript
- Debugging
- Git
- Technical Documentation
- Problem Solving
- Open Source
How to Get Hired at Taskify AI
- Tailor your resume: Highlight your 2+ years of software development, Python/JavaScript experience, and debugging skills.
- Ace the technical screening: Be prepared for a brief AI technical interview assessing your coding and reasoning abilities.
- Showcase your background: Emphasize any open-source contributions or experience analyzing code repositories.
- Prepare to articulate: Practice clearly explaining your technical thought process and debugging strategies in writing.
- Demonstrate understanding: Familiarize yourself with Git workflows and software development lifecycles.
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