Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist About The Role What if your data science knowledge could directly shape the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve advanced AI models — exposing gaps in their reasoning and helping build more accurate, reliable machine learning capabilities. This is a fully remote, flexible contract role built for experienced data scientists and quantitative 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: Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — specifically engineered to probe the limits of AI reasoning
• Author Ground-Truth Solutions: Develop rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive standard for model evaluation
• Audit AI-Generated Code: Review and assess AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow — evaluating technical accuracy, efficiency, and correctness of data visualizations and statistical summaries
• Refine AI Reasoning: Identify subtle logical failures — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured, actionable feedback that directly improves how models think Who You Are
• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative discipline with a strong data focus
• Deep knowledge across core areas: supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)
• Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
• Exceptionally detail-oriented — code syntax, mathematical notation, and statistical validity all matter to you
• No prior AI or annotation experience required Nice to Have
• Experience with data annotation, quality evaluation, or labeling systems
• Familiarity with production-level data science workflows — MLOps, CI/CD for models, experiment tracking
• Background in academic research or technical writing Why Join Us
• Work directly with industry-leading AI language models at the frontier of research
• Fully remote and asynchronous — work when and where you perform best
• Freelance flexibility with consistent, substantive task-based work
• Contribute to AI development that has a real and lasting impact on how models reason about data science
• Potential for ongoing work and contract extension as new projects launch