Data Scientist (Masters)
Alignerr
Data Scientist (Masters)
Alignerr is seeking Data Scientists with a Master's or PhD to work as AI Data Trainers on a fully remote, flexible contract. The role involves designing advanced data science challenges, authoring ground-truth solutions, auditing AI-generated code, and sharpening AI reasoning. No prior AI industry experience is required, but deep knowledge of machine learning, statistical inference, and data engineering is essential.
Data Scientist (Masters)
Alignerr is seeking Data Scientists with a Master's or PhD to work as AI Data Trainers on a fully remote, flexible contract. The role involves designing advanced data science challenges, authoring ground-truth solutions, auditing AI-generated code, and sharpening AI reasoning. No prior AI industry experience is required, but deep knowledge of machine learning, statistical inference, and data engineering is essential.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Design Advanced Challenges — Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
- Author Ground-Truth Solutions — Build rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the gold standard for AI evaluation
- Audit AI-Generated Code — Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness
- Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured, actionable feedback to improve how models reason through problems