TL;DR

Senior AI Data Engineer (Data Science): Creating realistic datasets, writing intuitive prompts, and developing high-quality visualizations for insightful data tasks with an accent on bridging technical precision with real-world plausibility. Focus on crafting examples that meet strict quality rubrics and correctness criteria.

Location: Remote (Argentina)

Salary: $17-$25

Company

%hirify_global% is seeking a Senior Data Engineer with world-class Python expertise and a sharp eye for data quality, engineering rigor, and visualization fidelity.

What you will do

Design and build realistic toy/dummy datasets at varying complexity levels.
Write concise, natural-language prompts tailored for business analysts.
Reproduce target visualizations with aesthetic and analytical fidelity using Python.
Define correctness criteria tailored to open-ended insight prompts and provide supporting documentation.
Check each example against quality rubrics and maintain a high standard of accuracy.

Requirements

10+ years of professional experience in data engineering or applied data science.
Expert-level proficiency in Python.
Deep understanding of data modeling, prompt crafting, and reproducible workflows.
Exceptional attention to detail and quality control.
Proven success in high-impact technical environments.

Nice to have

Experience with statistics, hypothesis testing, and storytelling with data.
Background in producing training data, developer tools, or reproducible research.
Strong writing skills for crafting precise prompts and correctness criteria.

Culture & Benefits

Part-time, flexible hours commitment.