Data Scientist (Masters) — AI Data Trainer

About The Role

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI models think and reason? We're looking for data scientists with graduate-level training to challenge, audit, and refine cutting-edge AI systems — exposing their blind spots and helping build models that are sharper, more rigorous, and genuinely trustworthy.

This is a fully remote, adaptable contract role. No prior AI industry experience required — just deep domain knowledge and a passion for getting things right.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Design Complex Challenges: Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — pushing AI models to their limits
Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries,



and mathematical derivations that serve as the benchmark for AI responses
Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and best practices
Refine AI Reasoning: Identify and document logical failures such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback that improves how models reason through problems

Who You Are

Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focus
Solid foundational knowledge across supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
Naturally meticulous — you catch errors in code syntax, mathemat

📌 Data Scientist (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México