AI Training for Data Science (Freelance, Remote)

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.