Data Science Expert - AI Content Specialist

What You'll Do

• Craft rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more to expose the limits of AI reasoning
• Develop precise, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses
• Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing correctness, efficiency, and best practices
• Spot and document logical errors in AI reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured, actionable feedback to improve model performance

Who You Are

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational knowledge across core areas: supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)
• Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing
• Highly precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
• Self-motivated and comfortable working independently in an asynchronous environment
• No prior AI industry experience required

Nice to Have

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