Job Description
About Mindrift
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 a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects.
Responsibilities
- Design original computational data science problems that simulate real-world analytical workflows across industries.
- Create problems requiring Python programming (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensure problems are computationally intensive.
- Develop problems requiring non-trivial reasoning chains.
- Create deterministic problems with reproducible answers.
- Base problems on real business challenges.
- Design end-to-end problems spanning the complete data science pipeline.
- Incorporate big data processing scenarios.
- Verify solutions using Python.
- Document problem statements clearly.
Requirements
- Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
- At least 5 years of hands-on data science experience.
- Portfolio of completed projects and publications.
- Proficient in Python programming for data science.
- Expert in statistical analysis and machine learning.
- Proficient in SQL and database operations.
- Experience with GenAI technologies.
- Good understanding of MLOps practices.
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).
- Advanced (C1) or above level of English.
Benefits
- Get paid for your expertise, with rates that can go up to $46/hour depending on your skills, experience, and project needs.
- Part-time, remote, freelance project.
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