About the job
This opportunity is exclusively available for candidates residing in Argentina. Your location may impact eligibility and compensation. Please submit your resume in English along with your level of English proficiency.
At Mindrift, we blend innovation with opportunity. Our goal is to harness the collective intelligence of individuals to ethically shape the future of artificial intelligence.
About Us
The Mindrift platform connects specialists with AI projects from leading technology innovators. We aim to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.
Role Overview
As a Data Science AI Trainer, you will collaborate on projects that strive to enhance GenAI models, focusing on their ability to tackle specialized inquiries and develop complex reasoning skills. Your tasks may include:
- Crafting original computational data science challenges that mirror real-world analytical tasks across various industries, including telecom, finance, government, e-commerce, and healthcare.
- Developing problems that necessitate Python programming solutions, utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn.
- Creating computationally intensive challenges that require significant timeframes for resolution.
- Formulating problems that invoke intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Ensuring problems yield deterministic, reproducible answers, avoiding stochastic elements or requiring fixed random seeds.
- Framing challenges based on legitimate business scenarios, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science pipeline from data ingestion to deployment considerations.
- Incorporating big data processing elements that demand scalable computational methods.
- Validating solutions using Python with established data science libraries and statistical techniques.
- Documenting problem statements with clarity, contextualizing them within realistic business scenarios, and providing verified correct answers.
How to Apply
To begin your journey with us, simply apply to this post, qualify, and seize the opportunity to work on projects that align with your skills, all while managing your own schedule. From crafting training prompts to refining model outputs, you will help shape the future of AI, ensuring it benefits all.

