About the job
We invite you to submit your resume in English, specifying your level of English proficiency.
At Mindrift, we merge innovation with opportunity, harnessing the power of collective intelligence to ethically shape the future of AI.
About Us
The Mindrift platform serves as a bridge connecting specialists with AI projects from leading tech innovators. Our mission is to unleash the potential of Generative AI by leveraging real-world expertise from around the globe.
Role Overview
As a Data Science AI Trainer, you will play a pivotal role in advancing GenAI models to tackle specialized questions and enhance complex reasoning skills. You will have the chance to collaborate on various unique projects.
Your responsibilities may include:
- Crafting original computational data science challenges that replicate real-world analytical processes across sectors such as telecom, finance, government, e-commerce, and healthcare.
- Designing problems that require Python programming solutions (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensuring that the challenges are computationally demanding and cannot be solved manually within feasible timeframes (days/weeks).
- Creating scenarios necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements or employing fixed random seeds for exact results.
- Grounding challenges in actual business scenarios focusing on customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Integrating big data processing requirements that call for scalable computational strategies.
- Validating solutions through Python using standard data science libraries and statistical techniques.
- Clearly documenting problem statements within realistic business contexts and providing verified correct answers.
Getting Started
To join us, simply apply to this posting, meet the qualifications, and you can contribute to exciting projects that align with your skills, all while working on your own schedule. By creating training prompts and refining model responses, you will help shape the future of AI, ensuring that technology serves everyone.

