About the job
This opportunity is exclusively available to candidates currently residing in Italy. Your location may impact eligibility and compensation rates. Please submit your resume in English and specify your level of English proficiency.
At Mindrift, we embrace innovation and opportunity. Our mission is to harness the power of collective intelligence to ethically shape the future of AI.
About Us
The Mindrift platform connects experts with groundbreaking AI projects from leading technology innovators. Our goal is to unlock the potential of Generative AI by leveraging real-world expertise from around the world.
Role Overview
As a Data Science AI Trainer, you will collaborate on projects aimed at enhancing GenAI models to tackle specialized queries and develop complex reasoning abilities. Each project is distinct, but your responsibilities may include:
- Crafting original computational data science challenges that mimic real-world analytical tasks across various sectors (telecom, finance, government, e-commerce, healthcare).
- Developing problems that necessitate Python programming skills (utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensuring challenges are computationally rigorous and cannot be resolved manually within feasible timeframes (days/weeks).
- Creating problems that involve intricate reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Designing deterministic issues with reproducible outcomes: avoiding stochastic elements or requiring fixed random seeds for exact reproducibility.
- Formulating problems based on genuine business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Structuring end-to-end problems covering the complete data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).
- Incorporating scenarios that involve big data processing and scalable computational strategies.
- Verifying solutions through Python and standard data science libraries and statistical methods.
- Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
How to Apply
To get started, simply respond to this post, qualify, and seize the opportunity to contribute to projects that match your skills on your own schedule. From crafting training prompts to refining model responses, you’ll be instrumental in shaping the future of AI while ensuring it benefits everyone.

