Mindrift
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Software Development · 201 to 500 Employees · Lucerne, Switzerland
Welcome to Mindrift — a space where innovation meets opportunity. We’re a pioneering platform dedicated to advancing the field of artificial intelligence through collaborative online projects. We focus on creating data for Generative AI, offering a unique chance for freelancers to contribute to AI development from anywhere, at any time - without the need to be developers. At Mindrift, we believe in the power of collective intelligence to ethically shape the future of AI. Our platform allows users to dive into a variety of tasks — ranging from creating training prompts for AI models to refining AI responses for better relevance.
Hiring: Engineering
What employees say
+ Nothing is good with this
− My experience with Mindrift has been very disappointing. The qualification exams feel unnecessarily difficult, and despite spending a lot of time preparing and completing multiple
More reviews on the company profile.
Interview experience · Python Developer
The process started with an online application followed by a technical screening. The technical assessment heavily emphasized production-ready Python (3.10+), strictly typed architectures, and building asynchronous data
Average difficulty · Pune · 5 reports
More interview insightsJob description
Overview
Mindrift is looking for highly skilled Web Scraping specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.
Responsibilities
- Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets
- Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements
- Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior
- Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
- Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
Education
- At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development (required)
- Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
- Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- A link to GitHub is a plus
- English proficiency: Upper-intermediate (B2) or above (required)
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