About the job
This opportunity is exclusively available to candidates currently residing in Jordan. Your location may influence eligibility and compensation rates. Please submit your resume in English and specify your English proficiency level.
At Mindrift, we merge innovation with opportunity, harnessing the power of collective intelligence to ethically shape the future of AI.
What We Do
The Mindrift platform bridges experts with AI projects from leading tech innovators. Our mission is to unlock the potential of Generative AI by leveraging real-world expertise from around the globe.
About the Role
As a Data Science AI Trainer, you will play a crucial role in enhancing GenAI models that are evolving rapidly. You’ll have the chance to collaborate on diverse projects aimed at enabling these models to tackle specialized queries and develop complex reasoning capabilities.
In this role, you will typically:
- Craft original computational data science challenges that emulate real-world analytical workflows in various sectors, including telecommunications, finance, government, e-commerce, and healthcare.
- Design problem sets that require Python programming to solve, utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn.
- Ensure that problems are computationally challenging and cannot be solved manually within a reasonable timeframe.
- Develop scenarios that require intricate reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Create deterministic problems with reproducible outcomes, avoiding stochastic elements unless fixed random seeds are provided.
- Base challenges on authentic business problems, 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.
- Integrate big data processing scenarios that necessitate scalable computational approaches.
- Validate solutions using Python alongside standard data science libraries and statistical methodologies.
- Document problem statements clearly within realistic business contexts and provide verified correct answers.
How to Get Started
Simply apply to this post, qualify, and seize the opportunity to engage in projects that align with your skills, all on your own schedule. From crafting training prompts to refining model responses, you will help shape the future of AI while ensuring technology serves everyone effectively.

