Senior Python Developer – AI Training; Remote

Python - Senior Developers - AI Training - UK About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

We're looking for Senior Python Developers to join our Expert Network to help train and evaluate cutting‑edge AI models. If you have a background in Software Engineering, we’ll send you a quick 10‑to‑15‑minute test to assess your skills. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $50/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

• Educational Background: a BSc or higher in Computer Science, Software Engineering, or closely related technical field
• Professional
  
  Experience:
  
  real‑world experience as a Senior Software Engineer or Developer specializing in Python
• Coding Proficiency: ability to solve Leet Code medium‑to‑hard level problems in Python independently
• Deep Domain Knowledge: expert understanding of the GIL, decorators, generators, memory management, and asynchronous patterns (asyncio, async/await)
• Code Quality: a high standard for clean code, including modularity, readability, and adherence to modern Pythonic standards (PEP 8, PEP 20)
• Attention to Detail: ability to spot subtle logical flaws, memory leaks, or security vulnerabilities in model-generated code

• Evaluate Code Accuracy: review AI-generated Python code for functional correctness and adherence to best practices
• Validate Logic & Reasoning: audit the step‑by‑step explanations provided by AI for complex algorithmic solutions to ensure they are logically sound
• Conduct Execution Testing: execute model-generated scripts in appropriate environments to verify performance and output
• Annotate Model Performance: identify areas where a model provides inefficient solutions, deprecated syntax, or hallucinated library methods
• Refine Technical Logic: provide structured feedback on how models reason through backend architecture, data pipelines, or API design discussions

• Core Language: expert mastery of Python 3.x, including type hints and modern language features
• Frameworks: extensive experience with Django, FastAPI, or Flask
• Testing & Tools: proficiency with pytest, unittest, coverage.py, and tox
• Backend & API: strong understanding of RESTful APIs, GraphQL, and server‑side logic in a Python environment (e.g., with FastAPI or Django REST Framework)

Competitive pay up to $50/hr, flexible hours, and the ability to work from home.