About the job
This opportunity is exclusively for candidates residing in South Africa. Your location may influence eligibility and compensation. Please submit your resume in English and include your English proficiency level.
At Mindrift, we fuse innovation with opportunity. Our commitment lies in harnessing the power of collective intelligence to ethically shape the future of AI.
About Us
The Mindrift platform connects specialists with AI projects from leading technology innovators. Our mission is to maximize the potential of Generative AI by leveraging real-world expertise from around the globe.
Position Overview
As a Data Science AI Trainer, you will play a crucial role in advancing GenAI models, helping them tackle specialized queries and develop complex reasoning abilities. You will collaborate on diverse projects that typically involve:
- Designing original computational data science challenges simulating real-world analytical workflows across various sectors (telecom, finance, government, e-commerce, healthcare).
- Creating programming problems in Python that utilize libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn.
- Ensuring challenges are computationally intensive, avoiding manual solutions within reasonable timeframes (days/weeks).
- Developing problems that require intricate reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Designing deterministic problems with reproducible answers, minimizing stochastic elements, or utilizing fixed random seeds for exact reproducibility.
- Focusing on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Creating end-to-end problems that encompass the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Incorporating scenarios that require big data processing and scalable computational approaches.
- Validating solutions using Python with standard data science libraries and statistical techniques.
- Documenting problem statements clearly within realistic business contexts and providing verified correct answers.
How to Apply
To get started, simply apply to this post, qualify, and seize the chance to contribute to projects that align with your expertise, at your own pace. By creating training prompts and refining model responses, you will help shape the future of AI, ensuring that technology serves everyone.

