About the job
This opportunity is exclusively available for candidates currently residing in India. Your location may impact eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, we merge innovation with opportunity. We are committed to leveraging collective intelligence to ethically influence the future of AI.
About Us
The Mindrift platform connects experts with AI projects from leading tech innovators. Our mission is to harness the potential of Generative AI by utilizing real-world expertise from around the globe.
Position Overview
As GenAI models evolve rapidly, our objective is to enhance their capabilities in tackling specialized inquiries and executing complex reasoning tasks. Joining us as a Data Science AI Trainer offers you the chance to collaborate on pioneering projects.
While each project is distinct, typical responsibilities include:
- Crafting original data science problems that replicate real-world analytical workflows across various sectors (telecom, finance, government, e-commerce, healthcare).
- Developing challenges that necessitate Python programming solutions (utilizing pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Ensuring that problems are computationally intense and cannot be resolved manually within practical timeframes.
- Creating scenarios that require intricate reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Formulating deterministic problems with reproducible outcomes: avoiding stochastic elements or requiring fixed random seeds for precise replicability.
- Rooting problems in authentic business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).
- Integrating big data processing situations demanding scalable computational methods.
- Validating solutions using Python with standard data science libraries and statistical techniques.
- Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
How to Apply
Simply apply to this listing, qualify, and seize the opportunity to contribute to projects that align with your expertise and schedule. From crafting training prompts to refining model outputs, you will help shape the future of AI, ensuring that technology serves everyone.

