At least 1 year of relevant experience in data analysis, AI automation, data engineering, or software development. Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus. Proficiency in Python for data analysis, web scraping, and visualization. Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium. Strong skills in data cleaning, transformation, and organization using pandas. Ability to locate authoritative sources and official databases. Experience creating data visualizations using matplotlib or seaborn. Hands-on experience with LLMs and AI frameworks. Advanced web research skills. Strong attention to detail and commitment to data accuracy. Ability to follow complex, multi-step instructions precisely. Comfortable working with CSV files and structured data formats. Self-directed work ethic with ability to troubleshoot independently. English proficiency: Upper-intermediate (B2) or above (required). Fully remote role requirements: laptop, stable internet connection, and time availability. Flexibility to switch between tasks and adapt to new methods quickly. Willingness to work with detailed, sometimes challenging guidelines.