TL;DR

Senior AI Data Engineer: Designing and building 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 technical precision, real-world plausibility, and meeting strict correctness criteria for AI-driven insights.

Location: Remote, must be based in Romania.

Compensation: Competitive hourly rate

Company

%hirify_global% is a global tech company offering AI services, specializing in data validation.

What you will do

Design and build realistic datasets at varying complexity levels, ensuring they are clean, reproducible, and well-structured.
Write concise, natural-language prompts tailored for business analysts, ensuring grammatical precision.
Reproduce target visualizations with aesthetic and analytical fidelity using Python libraries.
Define flexible and accurate correctness criteria for open-ended insight prompts.
Rigorously check each example against quality rubrics for correctness, completeness, clarity, and justification.

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 assessment and a Python skills test will be 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, flexible hours, with an immediate start.
Opportunity to work on a large-scale project with a leading global tech company.
Supportive environment where human judgment is valued, even with AI tools assisting the hiring process.