6 hours ago

Software Engineer - AI Research Annotation

Get Offers

Hybrid
Contractor
$130,000
Hybrid

Job Overview

Job TitleSoftware Engineer - AI Research Annotation
Job TypeContractor
Offered Salary$130,000
LocationHybrid

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Job Description

Software Engineer - AI Research Annotation

Join leading AI labs by applying software engineering expertise to improve model reasoning. As a Software Engineer - AI Research Annotation, you will review real-world coding tasks and document problem-solving processes.

About the Project

Support the development of advanced AI coding capabilities through structured dataset creation. This role involves working 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 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

Tags:

Software Engineer
AI Research
Annotation
Python
JavaScript
TypeScript
Debugging
Git
Open-Source
Technical Writing
Data Annotation
Machine Learning
SWE-bench
Code Review
Problem Solving
Software Development
Remote Work
Contractor
AI/ML Engineering
Code Trajectory

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How to Get Hired at Get Offers

  • Research Get Offers's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight software development, AI research, and annotation experience, using keywords like Python, JavaScript, Git, and debugging.
  • Prepare for the AI technical interview: Brush up on coding fundamentals, problem-solving, and your chosen programming languages for the 15-minute screening.
  • Showcase technical writing skills: Be ready to articulate complex technical reasoning clearly, demonstrating your ability to document processes effectively.
  • Highlight open-source work: Emphasize any contributions or analysis of open-source projects, aligning with the project's focus on authentic scenarios.

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