AI Tutor - Data Science
About the Role
Become a critical part of advancing the capabilities of AI in the vital field of Data Science! As an AI Tutor, you will leverage your expertise to teach, evaluate, and red-team cutting-edge AI models, ensuring they develop a deep and accurate understanding of core Data Science principles. Your work will directly impact the development of AI that can analyze complex datasets, identify trends, and generate accurate predictions across a range of applications.
We're particularly focused on developing AI proficiency in the following areas:
Statistical Modeling & Inference: Teaching models to understand and apply various statistical methods for data analysis, hypothesis testing, and drawing meaningful conclusions.
Machine Learning Algorithms: Guiding models to master the theory and application of supervised, unsupervised, and reinforcement learning algorithms for tasks like classification, regression, and clustering.
Data Visualization & Interpretation: Training models to effectively communicate complex data insights through clear and informative visualizations.
Data Ethics and Responsible AI: Instilling in models an understanding of the ethical implications of Data Science, including bias detection, fairness, and responsible data handling.
Your Day to Day
Teaching AI: You'll utilize RLHF techniques to train AI models on complex Data Science concepts and problem-solving approaches.
Evaluation & Feedback: You'll rigorously evaluate AI model performance, providing detailed feedback and corrective measures to enhance their accuracy and understanding.
Red Teaming: You'll design and conduct rigorous tests to identify vulnerabilities, biases, and limitations within the AI models' Data Science knowledge.
About You
Master's degree or PhD in Data Science, Statistics, Computer Science, or a related field, OR a Bachelor's degree with 3+ years of relevant industry experience
Strong understanding of core Data Science principles, including statistical modeling, machine learning algorithms, and data visualization techniques.
Excellent communication skills, with the ability to articulate complex technical concepts clearly and concisely.
A passion for pushing the boundaries of AI and its applications within Data Science.