Software Engineer - AI Research Annotation
Quik Hire Staffing
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
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.
This project focuses on supporting the development of advanced AI coding capabilities through structured dataset creation. You will work with authentic software engineering scenarios from open-source repositories to capture realistic developer thought processes, contributing directly to the next generation of coding AI.
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 & Ideal Background
This is an hourly independent contractor position, offering 15-25 hours/week (flexible up to 40), with an immediate start and a duration of 1-2 months, with extension opportunities. Payment is weekly via Stripe/Wise. We are looking for candidates with a Computer Science/Software Engineering degree (Bachelor's+), experience with open-source contributions or repository analysis, and a strong understanding of software development lifecycles and testing. Comfort working with technical documentation and specifications is also key.
Success Profile
Top performers will receive rate increases and priority for future AI research projects, becoming part of a cohort of experienced engineers shaping next-generation coding AI.
Key skills/competency
- Software Engineering
- AI Research
- Code Annotation
- Debugging
- Python
- JavaScript
- TypeScript
- Git Workflows
- Technical Documentation
- Problem Solving
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 2+ years of software development, AI research, and annotation skills relevant to Quik Hire Staffing.
- Showcase technical expertise: Prepare to discuss specific experiences with Python, JavaScript, Git, and debugging in your application.
- Master the technical interview: Practice articulating complex technical reasoning and problem-solving approaches for the AI technical interview.
- Highlight open-source contributions: Emphasize any experience with open-source projects or repository analysis to demonstrate relevant background.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background