Python Software Engineer

Data Freelance Hub; Remote; GBP 10,000 - GBP 40,000; Part time

Job summary

A leading freelance technology platform is seeking a part-time Python Software Engineer to contribute to building and training AI models. The role offers flexibility with remote work options available for candidates in the UK. Ideal candidates should have a strong track record in Python development, including designing modular codebases. The position pays $100/hour and requires 20 hours of work per week. Experience with FastAPI and Pydantic is essential.

Qualifications

• Experience at top US tech firms is a plus.
• Proven track record of building and maintaining complex, production-grade Python systems.
• Deep understanding of Python fundamentals, including decorators, generators, async/await.

Responsibilities

• Contribute to building and training AI models through production-grade Python systems.
• Design modular, testable codebases using modern Python tooling and best practices.
• Collaborate on model-training tasks with a focus on reliability and maintainability.

Skills

Python

FastAPI

Pydantic

Job description

Overview

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for a Python SWE (Train AI Models Part Time) with a contract length of at least 1 month, paying $100/h. Remote work is available for candidates in the U.S., UK, Canada, or Europe.

Role Details

• Position: Python Software Engineer (Train AI Models) — Part Time
• Contract length: at least 1 month
• Pay: $100/hour
• Hours: ~20 hours per week
• Location/Remote: Remote work available for U.S., UK, Canada, or Europe
• Primary skills: Python, FastAPI, Pydantic

Responsibilities & Expectations

• Contribute to building and training AI models through production-grade Python systems
• Design modular, testable codebases using modern Python tooling and best practices
• Collaborate on model-training tasks with a focus on reliability and maintainability

Qualifications

• Experience at top US tech firms is a plus
• Proven track record of building and maintaining complex, production-grade Python systems — not just scripts or notebooks
• Deep understanding of Python fundamentals, including decorators, generators, async/await, context managers, and performance tuning
• Experience designing modular, testable codebases using FastAPI, Pydantic, type hints, dependency injection, and unit/integration testing frameworks

Interview Process

• Technical interview conducted by a human
• Vetting details include a 90-minute Python-focused interview
• You will be allowed to use LLMs or Stack Overflow; AI IDEs are not allowed
• Timeline: you will hear back within two weeks

Note: This description reflects the role and expectations as provided by the employer. No additional non-essential boilerplate or duplicate content has been added.