Data Science Expert - AI Content Specialist

Data Science Expert — AI Content Specialist

About The Role

What if your deep knowledge of machine learning and statistical modeling could directly shape the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to stress-test, evaluate, and refine cutting-edge AI models — working remotely on your own schedule alongside leading AI research labs.

This is a rare opportunity to do genuinely meaningful technical work: not just using AI, but making it smarter, more accurate, and more trustworthy.

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

• Design Advanced Challenges — Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — specifically designed to probe and expose the limits of AI reasoning.
• Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers for model training.
• Audit AI-Generated Code — Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices.
• Refine AI Reasoning — Identify and document failure modes such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that directly improves how models think and respond.
  
  

• Advanced Degree — Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a related quantitative field with a strong focus on data analysis.
• Deep Domain Knowledge — Solid foundations in supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
• Strong Technical Writer — Able to communicate complex algorithmic concepts and statistical reasoning clearly and precisely in written form.
• Detail-Oriented — High level of precision when reviewing code syntax, mathematical notation, and the validity of statistical conclusions.
• No prior AI training experience required — your data science expertise is what matters.
  
  

• Experience with data annotation, data quality assurance, or model evaluation systems
• Familiarity with production-level data science workflows such as MLOps or CI/CD pipelines for models
  
  

• Work directly on frontier AI models used by leading research labs worldwide
• Fully remote — work from anywhere, on a schedule that fits your life
• Freelance flexibility with consistent, meaningful technical work
• High autonomy and ownership over the quality of your contributions
• Potential for ongoing contract renewals as new projects launch