Software Engineer - AI Research Annotation
Keystone Recruitment
Job Overview
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Job Description
Job Summary
Join leading AI labs as a Software Engineer specializing in AI Research Annotation. This global remote, hourly independent contractor role involves applying your software engineering expertise to enhance AI model reasoning by 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 drawn from open-source repositories, capturing realistic developer thought processes to create high-quality 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, including issues, tests, and pull requests, for accurate documentation.
- Ensure annotations consistently reflect authentic software engineering practices.
Technical Requirements
- 2+ years of hands-on software development experience.
- Strong proficiency in Python, JavaScript/TypeScript, or similar languages.
- Proven experience debugging complex codebases and effectively resolving issues.
- Familiarity with Git workflows, pull requests, and issue tracking systems.
- Ability to clearly and concisely articulate technical reasoning in written form.
Project Structure
- Duration: 1-2 months, with potential for extension opportunities.
- Start: Immediate onboarding available.
- Onboarding Process: Includes a 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 payments processed via Stripe/Wise.
Ideal Background
- A Bachelor's degree or higher in Computer Science or Software Engineering.
- Experience with open-source contributions or in-depth repository analysis.
- A solid understanding of software development lifecycles and testing methodologies.
- Comfort working with various technical documentation and specifications.
Success Profile
Top performers in this Software Engineer - AI Research Annotation role will be eligible for rate increases and receive priority consideration for future AI research projects. Join a dynamic cohort of experienced engineers who are actively shaping the next generation of coding AI.
Key skills/competency
- Software Engineering
- AI Research
- Code Annotation
- Python
- JavaScript
- TypeScript
- Debugging
- Git Workflows
- Technical Documentation
- Problem Solving
- Open Source
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 for AI Research Annotation: Highlight Python, JavaScript/TypeScript, debugging, and Git experience. Emphasize open-source contributions.
- Prepare for the AI technical interview: Practice articulating technical reasoning clearly, focusing on debugging and problem-solving processes.
- Showcase your technical documentation skills: Be ready to discuss how you analyze and explain complex code trajectories and design choices.
- Demonstrate commitment to self-scheduling: Emphasize your ability to manage flexible hours effectively while meeting project deadlines.
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