Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Job Description
About the Software Engineer, AI Research Annotation Role at Taskify AI
Apply software engineering expertise to enhance AI model reasoning by reviewing coding tasks and documenting problem-solving. Join leading AI labs in this global remote opportunity.
Project Overview
Support advanced AI coding capabilities through creating structured datasets. You will 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.
- Utilize 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 & Logistics
- Duration: 1-2 months with extension opportunities.
- Start: Immediate onboarding available.
- Onboarding: Resume review followed by a 15-minute AI technical interview.
- Pace: Self-scheduled within a weekly commitment minimum (15-25 hours/week, flexible up to 40).
- Payment: Weekly via Stripe/Wise.
Ideal Background
- Computer Science/Software Engineering degree (Bachelor's or higher).
- 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 Model Reasoning
- Code Trajectory Analysis
- Software Annotation
- Debugging
- Python
- JavaScript
- TypeScript
- Git Workflows
- Open-Source Contribution
- Software Development Lifecycle
How to Get Hired at Taskify AI
- Research Taskify AI's mission: Understand their commitment to AI advancement and ethical data practices.
- Tailor your resume: Highlight software engineering, debugging, and AI/ML project experience for Taskify AI.
- Prepare for technical screening: Brush up on Python/JavaScript debugging and Git workflows for Taskify AI's interview.
- Showcase articulation skills: Practice clearly explaining complex technical reasoning, crucial for annotation tasks.
- Emphasize remote collaboration: Demonstrate your ability to thrive in a self-scheduled, independent contractor role.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background