Remote Python ML QA Lead (Contractor)

AI Trainer Jobs; United States; Remote; USD 136,000 - 194,000; Part time

Job summary

AI Trainer Jobs is seeking a Python ML QA Lead for a remote contractor role to oversee quality across Python ML training projects. You will review AI-generated Python code, ML workflows, model explanations, and trainer/QA work, evaluating output quality against project guidelines while providing precise written feedback.

The role requires strong Python and ML expertise, English communication, and ability to manage quality workflows across remote teams.

Qualifications

• Bachelor level or higher in a quantitative field; ML/DS focus preferred.
• Excellent English for guidelines and feedback.
• 3+ years in Python, ML, DS, or related roles with QA or education focus.

Responsibilities

• Quality monitoring of Python ML items and feedback delivery.
• Code and ML review of AI-generated Python code and workflows.
• Communicate updates and guidelines to remote contributors.
• Answer questions on syntax, leakage, validation, and rubric interpretation.
• Manage activation and follow-ups with contributors and QA staff.
• Create and maintain Python ML style guides, trackers, and onboarding materials.

Skills

Trainer Feedback

Machine Learning

Python QA

Scikit-learn

PyTorch

Data Science

Code review

Python

AI Training

LLM evaluation

Education

Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or related quantitative field

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow/Keras

XGBoost/LightGBM

Jupyter

matplotlib

seaborn

MLflow

Hugging Face

SQL

GitHub

Docker

CI/CD

Job description

AI Trainer Jobs is seeking a Python ML QA Lead for a remote contractor role to oversee quality across Python ML training projects. You will review AI-generated Python code, ML workflows, model explanations, and trainer/QA work, evaluating output quality against project guidelines while providing precise written feedback.

The role requires strong Python and ML expertise, English communication, and ability to manage quality workflows across remote teams.