Machine Learning AI Data Trainer
Alignerr
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.
#J-18808-LjbffrReference: WJ-4483_1455806 · Posted 08 Nov 2026, 02:19 AM