Python - Senior Developers - AI Training - US
Evaluate Code Accuracy
Evaluate 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.
Refined 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).