YO IT Consulting
Python Developer - LLM
YO IT ConsultingLuxembourg20 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
Engagement Type: Independent Contractor

Work Mode: Remote | Global

Schedule: Part-Time (15-25 hrs/week, flexible up to 40 hrs)

Duration: 1-3 Months | Immediate Start

Role Overview

We are hiring experienced Software Engineers (Python-focused) to support high-impact research collaborations with leading AI labs.

In this project-based engagement, you will contribute to building training datasets that improve AI model reasoning and problem-solving across real-world coding tasks.

This is a unique opportunity to apply your software engineering expertise toward shaping the next generation of intelligent systems.

About The Project

You will work on SWE-bench-style tasks derived from real open-source repositories.

Since frontier AI models do not expose their internal reasoning traces, your role will involve:

  • Reconstructing model reasoning
  • Annotating solution trajectories
  • Inferring thought processes behind debugging and implementation steps

You will use your own developer problem-solving approach to reconstruct and annotate realistic reasoning flows.

Key Responsibilities

  • Review model-generated code trajectories on realistic software engineering tasks
  • Reconstruct step-by-step chain-of-thought reasoning
  • Annotate debugging logic, decision points, and problem-solving strategies
  • Use full context (codebase, issues, test cases) to infer plausible reasoning
  • Ensure technical accuracy and alignment with real-world developer workflows

Required Qualifications

  • 2+ years of hands-on software engineering experience
  • Strong debugging experience in real codebases
  • Proficiency in Python (primary)
  • Familiarity with JavaScript / TypeScript or other open-source languages (preferred)
  • Experience with Git workflows (PRs, issue tracking)
  • Ability to articulate technical reasoning clearly in writing
  • Bachelor’s degree in CS, Software Engineering, or related field

Ideal Candidate

  • Strong analytical thinker
  • Comfortable explaining technical reasoning
  • Detail-oriented and methodical
  • Familiar with open-source contribution workflows
  • Interested in AI and LLM research

Application Process

1️⃣ Upload your resume

2️⃣ Complete a short 15-minute AI interview

3️⃣ Selected candidates receive onboarding details within a few days

Contract & Payment Terms

  • Independent Contractor Engagement
  • Fully Remote
  • Flexible schedule
  • Weekly payments via Stripe or Wise
  • Projects may be extended or concluded based on needs and performance
  • No access to confidential employer data required

Key Skills

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