About the job
This position is exclusively for candidates residing in Brazil. Your location may influence eligibility and compensation. Please submit your resume in English and specify your English proficiency level.
At Mindrift, we blend innovation with opportunity. Our mission is to leverage collective intelligence to ethically advance AI technology.
What We Do
The Mindrift platform bridges the gap between specialists and AI projects from leading tech innovators. Our aim is to harness the capabilities of Generative AI by drawing on global real-world expertise.
About the Role
As a Data Science AI Trainer, you will play a vital role in enhancing GenAI models to tackle specialized inquiries and develop complex reasoning skills. Your contributions will be essential in various projects tailored to your expertise.
Typical responsibilities include:
- Crafting original data science problems that mirror real-world analytical processes across sectors such as telecom, finance, healthcare, and more.
- Formulating challenges that necessitate Python programming (using libraries like pandas, NumPy, SciPy, scikit-learn, StatsModels, Matplotlib, Seaborn).
- Creating computationally intensive problems that cannot be solved manually within practical timeframes.
- Developing scenarios requiring intricate reasoning for data processing, statistical analysis, feature engineering, predictive modeling, and insights extraction.
- Designing deterministic problems with reproducible outcomes, avoiding stochastic elements unless fixed random seeds are utilized.
- Focusing on real business challenges including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Engineering end-to-end problems covering the full data science pipeline: data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations.
- Integrating big data processing scenarios that call for scalable computation techniques.
- Validating solutions using Python alongside standard data science libraries and statistical methods.
- Documenting problem statements with clarity and providing validated solutions in realistic business contexts.
How to Get Started
Apply for this role, qualify, and seize the opportunity to contribute to projects that match your skills on a flexible schedule. From crafting training prompts to enhancing model responses, you’ll be shaping the future of AI, ensuring technology serves everyone.

