Data Engineer

About us:

We are seeking highly skilled Data Scientists, Data Visualization Experts, and Data Engineers to support a project focused on building a dataset of visualizations for Large Language Model (LLM) training.

This is a hands-on, technical role requiring the ability to write production-level Python code, build high-quality visualizations, replicate dashboards from images, evaluate insights, and create structured prompts.

• Design and build data visualizations (static and interactive) using Python libraries such as matplotlib, plotly, bokeh, and dash.
  

• Replicate dashboards and visual reports from provided images and references.
  

• Perform data wrangling and transformation to prepare datasets for visualization.
  

• Contribute to data engineering tasks, including pipeline setup and optimization.
  

• Evaluate and validate insights for accuracy and clarity.
  

• Create structured prompts and documentation to support LLM training processes.
  

• Deliver clean, reusable, and scalable code aligned with production standards.
  

• Advanced proficiency in Python and data libraries (pandas, matplotlib, plotly, bokeh, dash).
  

• Strong experience in data wrangling and transformation.
  

• Proven ability in data visualization and dashboard development.
  

• Solid foundation in data engineering concepts (pipelines, storage, optimization).
  

• Strong analytical reasoning skills—ability to interpret data and communicate insights.
  

• Demonstrated ability to deliver production-ready code.
  

• Lead-level experience: able to work independently and set standards for others.
  

• Experience in LLM / AI training projects.
  

• Background in machine learning, NLP, or large-scale data annotation.
  

• Experience with distributed systems or handling large datasets.
  

• Fully remote engagement—work from anywhere.
  

• Flexible, hourly-based contract.
  

• Opportunity to contribute to cutting-edge AI/LLM projects.
  

• Work alongside a global, expert team of data and AI professionals.