About the job
This opportunity is exclusively for candidates residing in Romania. Your location may influence eligibility and compensation rates. Please submit your resume in English along with your level of English proficiency.
At Mindrift, we fuse innovation with opportunity. Our mission is to leverage the power of collective intelligence to ethically shape the future of artificial intelligence.
What We Do
The Mindrift platform connects experts with AI projects from leading tech innovators. Our aim is to unlock the potential of Generative AI by utilizing real-world expertise from around the globe.
About the Role
As a Data Science AI Trainer, you'll engage in projects that enhance GenAI models, enabling them to tackle specialized inquiries and complex reasoning tasks. While each project is distinct, typical responsibilities include:
- Crafting original computational data science challenges that mirror real-world analytical workflows across sectors such as telecom, finance, government, e-commerce, and healthcare.
- Formulating problems that necessitate Python programming for resolution (utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
- Creating computationally intensive tasks that cannot be resolved manually within reasonable timeframes (days/weeks).
- Developing problems that involve complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Ensuring problems yield reproducible answers by avoiding stochastic elements or employing fixed random seeds.
- Grounding problems in real business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
- Integrating big data processing scenarios requiring scalable computational strategies.
- Validating solutions using Python with standard data science libraries and statistical methodologies.
- Documenting problem statements with clear business contexts and providing verified correct answers.
How to Get Started
Simply apply to this posting, qualify, and seize the opportunity to contribute to projects that align with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll play a crucial role in shaping the future of AI, ensuring that technology serves the greater good.

