TL;DR

Senior AI Data Engineer (Python): Creating realistic datasets, intuitive prompts, and high-quality "golden plots" to power insightful data tasks with an accent on technical precision, data quality, and engineering rigor. Focus on bridging technical precision with real-world plausibility, crafting examples, and maintaining high code standards.

Location: Remote (Colombia)

Salary: Competitive hourly rate

Company

%hirify_global% is a global company providing AI services and data validation for leading tech companies.

What you will do

Design and build realistic, well-structured datasets reflecting real-world scenarios.
Write concise, natural-language prompts tailored for business analysts.
Reproduce target visualizations with high aesthetic and analytical fidelity using Python.
Define flexible and accurate correctness criteria for open-ended insight prompts.
Rigorously check examples against quality rubrics, ensuring accuracy across data, prompts, and visualizations.

Requirements

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

Nice to have

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

Culture & Benefits

Part-time, flexible hours.
Opportunity to work on a large-scale project with a leading global tech company.

Hiring process

Applicants will complete an English proficiency assessment.
Applicants will complete a Python skills test.