Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist

About The Role

What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems think and reason?

We're looking for Data Science Experts to work alongside leading AI research labs, stress-testing and training cutting-edge language models on complex, real-world data science problems. Your expertise becomes the benchmark AI has to meet — and your feedback is what makes it smarter.

This is a fully remote, flexible contract role built for experienced data scientists and researchers who want meaningful, intellectually stimulating work on their own schedule.

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

What You'll Do

• Design Advanced Challenges: Create rigorous, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely push AI to its limits
• Author Ground-Truth Solutions: Develop comprehensive, step-by-step solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI evaluation
• Audit AI-Generated Code: Critically evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and best practices
• Refine AI Reasoning: Identify flawed logic in AI responses — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured feedback that directly improves model reasoning
• Document Failure Modes: Systematically capture edge cases and reasoning breakdowns to help research teams harden model behavior
  
  

Who You Are

• Advanced degree in Data Science, Statistics, Computer Science, or a quantitative field (Master's pursuing/completed or PhD)
• Deep domain expertise in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Strong analytical writing skills — you can translate complex algorithmic concepts and statistical results into clear, precise written explanations
• Exceptional attention to detail — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• Comfortable working independently and asynchronously
• No prior AI or annotation experience required
  
  

Nice to Have

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

Why Join Us

• Work directly with industry-leading AI research labs on genuinely frontier problems
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the intellectual depth of cutting-edge AI research
• Ongoing contract opportunities as new AI projects launch
• Make a measurable impact on how AI reasons about data science — at scale