Python Developer - LLM at YO IT CONSULTING, Remote, £Contractor Rate

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

1 Upload your resume
2 Complete a short 15-minute AI interview
3 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