About the job
This opportunity is exclusively for candidates currently residing in Argentina. Your location may influence eligibility and compensation. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, we merge innovation with opportunity. Our mission is to harness the power of collective intelligence to ethically shape the future of AI.
Our Mission
The Mindrift platform serves as a bridge, connecting skilled specialists with AI projects from leading tech innovators. Our goal is to unleash the potential of Generative AI by leveraging real-world expertise from professionals worldwide.
About the Role
As a Data Science AI Trainer on our platform, you will collaborate on projects aimed at enhancing GenAI models to tackle specialized inquiries and develop intricate reasoning abilities. Typical responsibilities may include:
- Crafting original computational data science problems that emulate real-world analytical workflows across various sectors, including telecom, finance, government, e-commerce, and healthcare.
- Developing problems necessitating Python programming for resolution (utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensuring that problems are computationally demanding, requiring extended periods for manual resolution (days/weeks).
- Creating complex problems that involve sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Designing deterministic problems with reproducible solutions, avoiding stochastic elements unless fixed random seeds are utilized.
- Formulating challenges grounded in authentic business issues such as customer analytics, risk evaluation, fraud detection, forecasting, optimization, and operational efficiency.
- Architecting end-to-end problems that encompass the entirety of the data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Incorporating large-scale data processing scenarios that require scalable computational strategies.
- Validating solutions using Python alongside established data science libraries and statistical techniques.
- Documenting problem statements with clarity, embedding realistic business contexts, and providing verified solutions.
How to Apply
Simply respond to this posting, meet the qualifications, and seize the opportunity to contribute to projects that align with your skill set, all on your own schedule. By creating training prompts and refining model outputs, you will play a pivotal role in shaping the future of AI, ensuring technology serves everyone.

