3 hours ago

Software Engineer - AI Research Annotation

Get Offers

Hybrid
Contractor
$117,000
Hybrid

Job Overview

Job TitleSoftware Engineer - AI Research Annotation
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$117,000
LocationHybrid

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Job Description

Software Engineer - AI Research Annotation at Get Offers

Join leading AI labs by applying your software engineering expertise to improve model reasoning. In this global remote role, you will review real-world coding tasks and meticulously document 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, contributing to next-generation coding AI.

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

Key skills/competency

  • AI Research
  • Code Annotation
  • Software Development
  • Python
  • JavaScript
  • TypeScript
  • Debugging
  • Git
  • Technical Documentation
  • Problem-Solving

Tags:

Software Engineer - AI Research Annotation
AI annotation
code trajectory
problem-solving
debugging
documentation
Git workflow
technical writing
software development
dataset creation
model reasoning
Python
JavaScript
TypeScript
Git
SWE-bench
open-source
codebases
issue tracking
pull requests

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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 to align your application.
  • Tailor your resume: Customize your resume to highlight software development, AI annotation, Python/JavaScript, and Git experience, directly addressing the job description's keywords.
  • Master the technical interview: Prepare for a 15-minute AI technical interview by practicing debugging, code analysis, and articulating your problem-solving approach clearly.
  • Showcase AI/open-source contributions: Emphasize any experience with open-source projects, repository analysis, or AI research to demonstrate relevant skills.
  • Emphasize clear technical communication: Practice articulating complex technical reasoning and documentation skills, crucial for the annotation and explanation responsibilities.

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