Python - Senior Developers - AI Training - Oxford, UK

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).

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