About the job
This role is exclusively available to candidates currently residing in the Philippines. Your location may influence eligibility and compensation rates. Please submit your resume in English and specify your English proficiency level.
At Mindrift, we innovate to create opportunities. Our belief lies in harnessing collective intelligence to ethically shape the future of artificial intelligence.
What We Do
Our platform connects experts with exciting 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.
Role Overview
As a Data Science AI Trainer on our platform, you will play a pivotal role in enhancing GenAI models, aiming to address specialized questions and develop complex reasoning abilities. Your responsibilities will typically include:
- Crafting original computational data science challenges that mirror real-world analytical workflows across diverse sectors, including telecom, finance, government, e-commerce, and healthcare.
- Designing problems that necessitate Python programming for resolution, utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn.
- Creating computationally demanding problems that cannot be solved manually within a practical timeframe.
- Developing challenges that require intricate reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
- Formulating deterministic problems with reproducible outcomes, avoiding stochastic elements.
- Aligning challenges with actual business issues such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
- Designing comprehensive problems that cover the entire data science pipeline, from data ingestion and cleaning to exploratory data analysis, modeling, validation, and deployment considerations.
- Incorporating big data processing scenarios that demand scalable computational solutions.
- Validating solutions using Python with standard data science libraries and statistical methods.
- Clearly documenting problem statements with realistic business contexts and providing verified correct answers.
Compensation
Contributors can earn up to $15 per hour, contingent on their level of expertise and contribution speed. Compensation may vary across different projects based on their scope, complexity, and required skills.
How to Apply
Interested candidates should apply through our platform. We look forward to your application!

