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 globally remote role, you will review real-world coding tasks and meticulously document problem-solving processes, contributing directly to the advancement of AI capabilities.
About the Project
This project supports the development of advanced AI coding capabilities through structured dataset creation. You will work with authentic software engineering scenarios drawn from open-source repositories, capturing realistic developer thought processes to build robust training data.
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 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 minimums (15-25 hours/week, flexible up to 40).
- 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.
Apply Now
Upload your resume and complete a brief technical screening. All qualified software engineers are welcome regardless of background.
Key skills/competency
- AI Research
- Software Engineering
- Code Annotation
- Debugging
- Python
- JavaScript
- TypeScript
- Git Workflows
- Problem Solving
- Technical Writing
How to Get Hired at Taskify AI
- Research Taskify AI's mission: Understand their work in AI research and how this role contributes to advancing coding capabilities.
- Tailor your resume: Highlight your 2+ years of software development, Python/JavaScript proficiency, and debugging experience relevant to AI model improvement.
- Showcase Git workflow mastery: Emphasize familiarity with pull requests, issue tracking, and open-source contributions in your application.
- Prepare for the technical interview: Practice articulating complex technical reasoning and be ready for a 15-minute AI technical screening focused on code review and debugging.
- Demonstrate written communication: Be ready to showcase your ability to clearly document problem-solving processes and technical choices.
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