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Frontend developer to HR platform with Angular experience

Reach out to us if you are interested in working with us on the project.
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AI Trainer for Vibe Coding (m/w/d)

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Industry
Information Technology (IT)
Areas
Business Intelligence
Information Technology (IT)
Research and Development (R&D)

Project info

  • Daily rate
    180 - 240€
  • Language
    • English
      (Intermediate)
  • Remote
    100%

Description

An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows.

This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time.

Key responsibilities:

  • 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 (regions → companies → detailed 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 to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision.
  • Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.

Requirements

  • At least 1 year of relevant experience in data analysis, AI automation, data engineering, or software development is desirable.
  • Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Python proficiency: Demonstrated ability to write functional scripts for data analysis, web scraping, and visualization.
  • Web scraping expertise: Experience extracting structured data from websites using tools like BeautifulSoup, Scrapy, Selenium, or similar.
  • Data manipulation: Strong skills in cleaning, transforming, and organizing datasets using pandas or equivalent libraries.
  • Research capabilities: Ability to locate authoritative sources, official databases, and government datasets.
  • Data visualization: Experience creating charts and graphs using matplotlib, seaborn, or similar libraries.
  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.
  • Advanced web research skills with ability to find specific, credible data sources.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to follow complex, multi-step instructions precisely.
  • Comfortable working with CSV files, structured data formats, and file specifications.
  • Self-directed work ethic with ability to troubleshoot independently.
  • Fully remote role: laptop, stable internet connection, and time availability required.
  • Flexibility to switch between tasks and adapt to new methods quickly.
  • Willingness to work with detailed, sometimes challenging guidelines.

Application process

Apply on the FRATCH platform. If selected, you will receive a short test from our client.