Data Scientist (Masters)

Data Scientist (Masters) - AI Data Trainer

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most powerful AI systems think and reason?

We're looking for advanced data scientists to work with Alignerr - partnering with leading AI research labs to train and harden cutting-edge language models. You'll challenge AI on the hardest problems in your field, expose its blind spots, and help build models that reason with genuine technical rigor.

This is a fully remote, flexible contract role built for people who love going deep on complex problems - and getting paid well to do it.

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

What You'll Do

• 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 - Develop rigorous, step-by-step technical solutions - including Python/R scripts, SQL queries, and mathematical derivations - that serve as the definitive benchmark for AI responses
• Audit AI-Generated Code - Evaluate outputs from models using Scikit-Learn, PyTorch, TensorFlow, and similar libraries for correctness, efficiency, and technical soundness
• Sharpen AI Reasoning - Identify logical failures in AI thinking - data leakage, overfitting, improper handling of imbalanced datasets - and provide structured feedback that improves how models reason through problems
• Document Failure Modes - Systematically record how and where AI models break down on advanced topics, contributing directly to model improvement cycles

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
• Deep foundational knowledge in one or more of: supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
• Exceptionally detail-oriented - you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• Comfortable working independently and asynchronously without hand-holding
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or model evaluation systems
• Familiarity with production-level data science workflows - MLOps, CI/CD pipelines for models
• Background in academic research, technical writing, or peer review

Why Join Us

• Work directly with cutting-edge large language models used by leading AI research labs
• Fully remote and asynchronous - work on your schedule, from anywhere
• High agency contractor model: you choose your hours and your workload
• Meaningful, intellectually stimulating work that pushes the boundaries of your expertise
• Potential for ongoing work and contract renewal as new projects launch