Remote Senior Data Scraping Engineer (Python) in Kuwait | Mindrift

Mindrift is hiring for Senior Data Scraping Engineer (Python) in Remote — Kuwait / Worldwide, within a business environment shaped by AI training, expert data creation and generative-AI evaluation. The role is remote. The role sits within this broader business context, while other current opportunities can be reviewed through the same-domain Mindrift careers hub.

About the Company and Its Activities

The platform works with experts across more than 90 knowledge domains, creating project opportunities for professionals from technical, scientific, creative, medical, legal and other specialized backgrounds. The work model is therefore closer to expert project contribution than a conventional single-location office role.

Mindrift emerged from Toloka’s evolution toward high-quality data for large language models and generative AI. Its projects combine human expertise with AI-development workflows, giving specialists a route to apply real-world knowledge to model training and evaluation.

Work Environment and Career Development

Mindrift’s public materials describe paid, project-based contribution and remote opportunities rather than a standard employee-benefits package. Some routes are designed for specialized professionals who qualify through assessments or interviews, while other task types can have a faster entry path.

How This Role Fits the Business

This position sits within a company environment shaped by AI training, expert data creation and generative-AI evaluation. Functionally, it is classified under Data Engineering with a focus on Python Data Scraping, which gives the vacancy a clearer place within the company’s operating and professional environment.

Role Overview

The position sits within software and technical development, with the specialty defined by the vacancy title. The functional family is Data Engineering, with a specific focus on Python Data Scraping.

Application Preparation

Keep your CV focused on experience that directly matches the role title and its functional specialty. Use clear dates, job titles and measurable achievements where they are accurate, and make sure the contact information in your CV is current.

How to Apply

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