AI Pilot Task Delivery

08 set - Padova
Altro

1 day ago – Be among the first 25 applicants.

Per candidarsi, è sufficiente leggere la seguente descrizione del lavoro e assicurarsi di allegare i documenti pertinenti.

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( ) and shape the future of hybrid agents—where human expertise and AI‑driven automation work together seamlessly to deliver exceptional results for real clients.

This flexible, part‑time remote opportunity is ideal for professionals with technical expertise and hands‑on experience in scripting, automation, or AI‑driven tools.

What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real‑world expertise from across the globe.

About the Role
As a Vibe Code specialist, you'll handle research, data extraction, and analysis tasks requiring technical precision and strategic problem‑solving.





Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross‑referencing authoritative sources.

Perform web scraping and data extraction by navigating complex website structures and multi‑level pages. Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well‑formatted CSV files.

Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required.

Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality.

Apply strong problem‑solving and task execution skills

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