Apply machine learning and statistical inference as a remote AI Data Trainer with Alignerr, creating rigorous challenges and solutions for advanced models.

This hourly contract suits data scientists pursuing or holding a Master's or PhD. Use data engineering, deep learning, and big data technologies to audit AI outputs, expose reasoning failures, and produce ground-truth references. The work requires exact technical communication and independent asynchronous execution.

Key Responsibilities:
Design challenges covering hyperparameter optimization and Bayesian inference
Author step-by-step solutions with Python, R, SQL, and derivations
Audit AI code using Scikit-Learn, PyTorch, and TensorFlow
Identify data leakage, overfitting, and imbalance handling failures




Document language-model failure modes on data science tasks

Requirements:
Master's or PhD in a quantitative, data-focused discipline
Fluency in supervised, unsupervised, and deep learning concepts
Robust statistical inference and data engineering knowledge
Transparent written explanations of algorithms and statistical results
Exceptional accuracy reviewing code and mathematical notation

Shape AI reasoning through machine learning expertise, exacting audits, and technically definitive solutions in Alignerr's remote contract work.

📌 Machine Learning Ai Data Trainer Edmonton
🏢 Alignerr
📍 Edmonton