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Statistical Scientist

Pubblicato il 07-10-2026 - Altro in Italia

Statistician with Python - Freelance AI Trainer
Please submit your resume in English and indicate your level of English. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Statistics, you'll have the opportunity to collaborate on these projects.
Generate prompts that challenge AI.
Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers.
Correct the model's responses based on your domain‐specific knowledge.
Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule.



From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.
Tasks for this project are estimated to take 6‐10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; You hold a Bachelor's, Master's or PhD Degree in Statistics, Biostatistics, Econometrics and/or in a relevant area.
You have professional experience in applied statistics, Bayesian statistics, biostatistics, econometrics, economic statistics, experimental design (DOE) & A/B testing, generalized linear models (GLMs), hypothesis testing, machine learning (e.g., classification, regression, clustering), probability theory, statistical modeling, or time series analysis.
Your level of English is advanced (C1) or above.
Expertise in statistical modeling and data analysis, including descriptive and inferential statistics, regression analysis, experiment

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