4 days ago

Software Engineer, AI Research Annotation

Keystone Recruitment

Hybrid
Contractor
$105,000
Hybrid

Job Overview

Job TitleSoftware Engineer, AI Research Annotation
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$105,000
LocationHybrid

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Job Description

Software Engineer, AI Research Annotation at Keystone Recruitment

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

Project Overview

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.

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
  • Use full codebase context (issues, tests, PRs) for accurate documentation
  • Ensure annotations reflect authentic software engineering practices

Technical Expertise Required

  • 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
  • Onboarding: Resume review + 15-minute AI technical interview
  • Pace: Self-scheduled within weekly commitment minimum
  • Payment: Weekly via Stripe/Wise

Ideal Candidate Profile

  • 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 & Growth Opportunities

Top performers receive rate increases and priority for future AI research projects. Join cohort of experienced engineers shaping next-generation coding AI.

Key skills/competency

  • AI Research
  • Software Engineering
  • Code Annotation
  • Debugging
  • Python
  • JavaScript
  • Git Workflows
  • Technical Documentation
  • Problem Solving
  • Open Source

Tags:

Software Engineer, AI Research Annotation
AI
research
annotation
coding
debugging
problem-solving
documentation
Git
Python
JavaScript
TypeScript
SWE-bench
open-source
codebases
AI models
machine learning
data annotation

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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 experience in AI, software development, debugging, and code annotation.
  • Prepare for the AI technical interview: Focus on demonstrating strong coding, debugging, and Git workflow knowledge.
  • Showcase your problem-solving skills: Be ready to articulate your reasoning for complex coding challenges and technical choices.
  • Emphasize remote collaboration: Highlight your ability to manage self-scheduled tasks and thrive in a global remote environment.

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