Machine Learning AI Data Trainer

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 precise 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
• Strong statistical inference and data engineering knowledge
• Clear 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.