Statistician with Python - Freelance AI Trainer

As an AI Tutor in Statistics at Mindrift, you will have the opportunity to collaborate on projects related to improving GenAI models. Your role will involve generating prompts to challenge AI, defining scoring criteria to evaluate the accuracy of AI's answers, and correcting model responses based on your domain-specific knowledge. Tasks for this project are estimated to take 6-10 hours to complete, depending on complexity. You have the flexibility to choose when and how to work, as long as tasks are submitted by the deadline and meet the listed acceptance criteria. Qualifications Required: - Hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics, or a relevant area - Professional experience in Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, and related fields - Expertise in statistical modeling and data analysis, including descriptive and inferential statistics, regression analysis, experimental design, and machine learning - Proficiency in Python, with experience using libraries such as Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn - Strong ability to design creative and diverse problems, particularly those that are computationally intensive - Willingness to learn new methods, switch between tasks and topics quickly, and work with challenging guidelines Join us at Mindrift to contribute to projects aligned with your skills, on your own schedule, and help shape the future of AI. This freelance role is fully remote, requiring only a laptop, internet connection, time availability, and enthusiasm to take on challenges. Please ensure that you are currently residing in the specified country before applying, as your location may affect eligibility and rates. Submission of resume in English and indicating your level of English proficiency is required for consideration. As an AI Tutor in Statistics at Mindrift, you will have the opportunity to collaborate on projects related to improving GenAI models. Your role will involve generating prompts to challenge AI, defining scoring criteria to evaluate the accuracy of AI's answers, and correcting model responses based on your domain-specific knowledge. Tasks for this project are estimated to take 6-10 hours to complete, depending on complexity. You have the flexibility to choose when and how to work, as long as tasks are submitted by the deadline and meet the listed acceptance criteria. Qualifications Required: - Hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics, or a relevant area - Professional experience in Applied Statistics, Bayesian Statistics, Biostatistics, Econometrics, and related fields - Expertise in statistical modeling and data analysis, including descriptive and inferential statistics, regression analysis, experimental design, and machine learning - Proficiency in Python, with experience using libraries such as Pandas, NumPy, SciPy, Statsmodels, and Scikit-learn - Strong ability to design creative and diverse problems, particularly those that are computationally intensive - Willingness to learn new methods, switch between tasks and topics quickly, and work with challenging guidelines Join us at Mindrift to contribute to projects aligned with your skills, on your own schedule, and help shape the future of AI. This freelance role is fully remote, requiring only a laptop, internet connection, time availability, and enthusiasm to take on challenges. Please ensure that you are currently residing in the specified country before applying, as your location may affect eligibility and rates. Submission of resume in English and indicating your level of English proficiency is required for consideration.