Python – Senior Developers – AI Training – UK
Remote
The role
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.
What you’ll bring
- 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/Developer specializing in Python
- Coding Proficiency: ability to solve LeetCode Medium to Hard- level problems in Python independently.
- Deep Domain Knowledge: expert understanding of the GIL (Global Interpreter Lock), 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.
What you’ll be doing in the role
- 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.
Key Technologies
- 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).
Python – Senior Developers – AI Training – UK
Remote
The role
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.
What you’ll bring
- 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/Developer specializing in Python
- Coding Proficiency: ability to solve LeetCode Medium to Hard- level problems in Python independently.
- Deep Domain Knowledge: expert understanding of the GIL (Global Interpreter Lock), 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.
What you’ll be doing in the role
- 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.
Key Technologies
- 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).
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