About the job
This position is exclusively for applicants residing in Mexico. Your location may influence eligibility and compensation. Please submit your resume in English and specify your level of English proficiency.
At Mindrift, we merge innovation with opportunity. Our mission is to harness collective intelligence to ethically guide the future of AI.
About Us
The Mindrift platform bridges the gap between specialists and AI projects from leading tech innovators. Our goal is to unlock the power of Generative AI by leveraging real-world expertise from around the globe.
Role Overview
As a Data Science AI Trainer, you will contribute to the rapid advancements in GenAI models, which are evolving to address specialized questions and enhance complex reasoning capabilities. You'll have the chance to work on diverse projects that typically involve:
- Creating original computational data science challenges that emulate real-world analytical processes across various sectors such as telecom, finance, government, e-commerce, and healthcare.
- Developing problems that necessitate Python programming (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensuring challenges are computation-heavy and cannot be solved manually in a reasonable timeframe.
- Designing tasks that require intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and deriving insights.
- Creating deterministic problems with reproducible outcomes, avoiding stochastic elements unless fixed random seeds are utilized.
- Addressing real business challenges, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science workflow (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).
- Incorporating scenarios that involve big data processing requiring scalable computational methodologies.
- Validating solutions using Python and standard data science libraries and statistical techniques.
- Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
How to Apply
To get started, simply apply to this posting, qualify, and seize the opportunity to work on projects that align with your expertise, all while managing your own schedule. From developing training prompts to refining model outputs, you'll play a pivotal role in shaping the future of AI, ensuring that technology serves everyone.

