About the job
This opportunity is exclusively for candidates currently residing in Vietnam. Your location may impact eligibility and compensation. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, we fuse innovation with opportunity. Our ethos revolves around harnessing collective intelligence to ethically advance the future of AI.
About Our Mission
The Mindrift platform bridges the gap between specialists and AI projects from leading technology innovators. Our aim is to unleash the power of Generative AI by leveraging real-world expertise from around the globe.
Role Overview
As a Data Science AI Trainer, you will engage in groundbreaking projects aimed at enhancing GenAI models to tackle specialized queries and enhance complex reasoning capabilities. Your contributions will play a vital role in shaping the future of AI.
Key Responsibilities
- Design original computational data science challenges that reflect real-world analytical processes across diverse sectors such as telecommunications, finance, government, e-commerce, and healthcare.
- Craft problems that necessitate proficiency in Python programming (utilizing libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Create challenges that are computationally demanding and not solvable manually within a practical timeframe.
- Develop tasks that require intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Formulate deterministic problems with reproducible outcomes, avoiding randomness unless fixed seeds are required for exact replication.
- Base challenges on authentic business scenarios including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Design comprehensive problems that cover the entire data science pipeline from data ingestion to deployment considerations.
- Incorporate scenarios that involve big data processing, necessitating scalable computational strategies.
- Validate solutions using Python and standard data science libraries and statistical methods.
- Clearly document problem statements with realistic business contexts, providing verified correct answers.
How to Apply
To get started, simply apply to this post, qualify, and seize the opportunity to contribute to projects that align with your expertise, on your own schedule. From generating training prompts to enhancing model responses, you will help shape the future of AI while ensuring technology serves all.

