Software Engineer - AI Research Annotation

Remote
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AI Summary

Join leading AI labs by applying software engineering expertise to improve model reasoning. Review real-world coding tasks and document problem-solving processes. Work with authentic software engineering scenarios from open-source repositories.

Key Highlights
Review AI-generated code trajectories
Reconstruct step-by-step reasoning
Annotate decision points and debugging strategies
Key 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
Technical Skills Required
Python JavaScript/TypeScript Git Pull requests Issue tracking
Benefits & Perks
Flexible work arrangement
Weekly payment via Stripe/Wise
Rate increases and priority for future AI research projects

Job Description


  • Software Engineer - AI Research Annotation
  • Location: Global Remote
  • Type: Hourly Independent Contractor
  • Hours: 15-25/week (flexible up to 40)


Join leading AI labs by applying software engineering expertise to improve model reasoning. Review real-world coding tasks and document problem-solving processes.


About the Project

Support development of advanced AI coding capabilities through structured dataset creation. 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
  • Use 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
  • 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 receive rate increases and priority for future AI research projects. Join cohort of experienced engineers shaping next-generation coding AI.


Apply Now: Upload resume + complete brief technical screening.

All qualified software engineers welcome regardless of background.


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