AI Research Annotation Software Engineer
Keystone Recruitment
Job Overview
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Job Description
AI Research Annotation Software Engineer
Join leading AI labs by applying software engineering expertise to improve model reasoning. This role involves reviewing real-world coding tasks and meticulously documenting problem-solving processes.
About the Project
Support 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.
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
- 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 (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.
Key skills/competency
- Software Engineering
- AI Research
- Code Annotation
- Python
- JavaScript/TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem-Solving
- Open-Source Contribution
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your 2+ years of software development, Python/JavaScript skills, and any AI research or open-source annotation experience for this AI Research Annotation Software Engineer role.
- Showcase your technical reasoning: During interviews, clearly articulate your debugging strategies and decision-making processes when discussing code.
- Prepare for the AI technical interview: Practice coding challenges and be ready to discuss your approach to complex codebase issues relevant to the AI Research Annotation Software Engineer position.
- Emphasize independent work: Highlight your ability to manage self-scheduled tasks and deliver high-quality work in a remote, contract environment.
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