Remote Python AI Logic Architect for LLM Training

Jazmin Par; United States; Remote; USD 28,000 - 69,000; Full time

Benefits offered by this job

Remote work

Global AI community

Flexible schedule

Competitive pay

Job summary

TELUS Digital seeks a Python AI Logic Expert to shape how AI learns Python for data science, automation, and ML workflows. You will train LLMs to write, debug, and optimize Python, ensuring secure and enterprise-ready code.

Remote, global collaboration, and cutting-edge AI research are core to the role. You will review AI-generated Python for best practices (PEP 8) and build datasets for supervised fine-tuning, leveraging Pandas, NumPy, PyTorch, and Scikit-learn.

Qualifications

• Advanced Python 3.x proficiency including decorators, generators, and context managers.
• Bachelor’s degree in CS/DS/SE or Applied Mathematics.
• English proficiency at least B1 to collaborate with global leads.

Responsibilities

• Design and refine Python challenges to teach Chain-of-Thought reasoning for data structures and algorithms.
• Conduct code reviews to ensure PEP 8 compliance and security.
• Develop and optimize Python scripts for data cleaning, structuring, and augmentation for SFT.
• Evaluate ML libraries to ensure high-fidelity math and data outputs.
• Create 'Broken Code' scenarios to test model debugging and performance.

Skills

Python 3.x expertise

Decorators

Generators

Context managers

Python Standard Library

Problem-solving mindset

Education

Bachelor’s degree in Computer Science or related field

Tools

Pandas

NumPy

PyTorch

Scikit-learn

Job description

TELUS Digital seeks a Python AI Logic Expert to shape how AI learns Python for data science, automation, and ML workflows. You will train LLMs to write, debug, and optimize Python, ensuring secure and enterprise-ready code.

Remote, global collaboration, and cutting-edge AI research are core to the role. You will review AI-generated Python for best practices (PEP 8) and build datasets for supervised fine-tuning, leveraging Pandas, NumPy, PyTorch, and Scikit-learn.