Python Engineer – AI Training

YO HR Consultancy; United States; Remote; USD 55,104 - 96,432; Part time

Job summary

A leading tech consultancy is seeking experienced Software Engineers to assist in high-impact AI research collaborations. The role involves annotating software engineering tasks using real-world coding experiences. Candidates should have at least 2 years of software engineering experience and be proficient in languages such as Python and JavaScript. The position is remote with part-time flexibility up to 40 hours/week, making it ideal for those wishing to contribute to groundbreaking AI projects from anywhere in the United States.

Qualifications

• 2+ years of experience in software engineering.
• Hands-on debugging and problem-solving in real codebases.
• Strong proficiency in relevant programming languages.

Responsibilities

• Review model-generated code trajectories.
• Reconstruct chain-of-thought reasoning.
• Annotate decision points and debugging logic.

Skills

annotation

debugging

problem-solving

clear structured writing

proficiency in Python

proficiency in JavaScript

proficiency in TypeScript

Education

Degree in Software Engineering

Bachelor's degree minimum

Tools

Git

issue tracking systems

Job description

Hiring experienced Software Engineers to support high-impact research collaborations with leading AI labs. Freelancers will contribute to building training datasets that improve AI model reasoning and problem-solving on 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’ll annotate frontier-model trajectories on SWE-bench–style tasks derived from real open-source repositories. Currently, closed‑source models do not expose their internal reasoning traces, making it difficult to understand how LLMs approach problem‑solving.

To address this gap, you’ll reconstruct and annotate the reasoning portions of model trajectories—using your own problem‑solving process and the full task context to infer and infill the underlying thought process at each step.

Key Responsibilities

• Review model‑generated code trajectories on realistic software engineering tasks
• Reconstruct chain‑of‑thought reasoning that explains each step of the solution process
• Annotate decision points, debugging logic, and problem‑solving strategies
• Use full task context (codebase, issue descriptions, test cases) to infer plausible reasoningEnsure annotations reflect realistic developer thought processes and technical accuracy

Ideal Qualifications

• 2+ years of experience in software engineering, with hands‑on debugging and problem‑solving in real codebases
• Degree in Software Engineering, Computer Science, or a related field (Bachelor's minimum; advanced degree preferred)
• Strong proficiency in Python, JavaScript, TypeScript, or other common languages found in open‑source projects
• Familiarity with version control workflows (Git, PRs, issue tracking)
• Comfortable articulating technical reasoning in clear, structured writing

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Payments are weekly on Stripe or Wise based on services rendered.

Project Timeline

• Start Date: Immediate
• Duration: 1–2 months
• Commitment: Part‑time (15–25 hours/week, with flexibility up to 40 hours/week)

Application & Onboarding Process

• Upload your resume
• AI interview: A short, 15‑minute conversational session to understand your background, experience, and interest in the role
• Follow‑up communication within a few days with next steps and onboarding details

Skills: annotation, training, social media, context