TL;DR

Senior AI Data Engineer (AI): Creating realistic datasets, intuitive prompts, and high-quality "golden plots" to power insightful data tasks with an accent on data quality, engineering rigor, and visualization fidelity. Focus on bridging technical precision with real-world plausibility, crafting examples that meet strict quality rubrics and correctness criteria.

Location: Remote (Mexico)

Salary: Competitive hourly rate

Company

%hirify_global%'s Welo Data - AI Services division focuses on data validation and creating AI-powered solutions for a global tech company.

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 flexible and accurate correctness criteria for open-ended insight prompts.
Rigorously check each example against quality rubrics, maintaining a high standard of accuracy.

Requirements

10+ years of professional experience in data engineering or applied data science.
Expert-level proficiency in Python (data wrangling, visualization, 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.
Completion of an English proficiency assessment and a Python skills test required.

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 commitment with flexible hours.
Opportunity to work on a large-scale project with a leading global tech company.
Immediate start available.

Hiring process

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