Statistician with Python - Freelance AI Trainer at Mindrift

, , France -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

50.0

Posted On

19 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Python, Machine Learning, Data Analysis, Statistical Modeling, Experimental Design, A/B Testing, Bayesian Statistics, Econometrics, Generalized Linear Models, Hypothesis Testing, Time Series Analysis, Prompt Generation, Scoring Criteria, Computational Problems, English Proficiency

Industry

technology;Information and Internet

Description

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. 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. What we do 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. About the Role 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. Although every project is unique, you might typically: 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. How to get started 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. Effort estimate 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 choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. 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 one of the following fields: 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, Time Series Analysis. Your level of English is advanced (C1) or above. Expertise in statistical modeling and data analysis, including areas such as 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 and go beyond simple parameter modifications. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Responsibilities

As an AI Tutor in Statistics, you will generate prompts that challenge AI and define scoring criteria to evaluate AI responses. You will also correct the model’s responses based on your domain-specific knowledge.