Senior AI Data Engineer – Chile (Remote, Part-time) – Santiago, Chile

Welocalize is seeking a Senior Data Engineer with world-class Python expertise and a sharp eye for data quality, engineering rigor, and visualization fidelity. In this role, you will create realistic datasets, write intuitive prompts, and develop high-quality “golden plots” to power insightful data tasks. You’ll bridge technical precision with real-world plausibility—crafting examples that meet strict quality rubrics and correctness criteria. Role Details Location: Remote Commitment: Part-time, flexible hours This is a large-scale project with a leading global tech company, with an immediate start and a first delivery in September Compensation: Competitive hourly rate Key Responsibilities Dataset Design & Curation • Design and build realistic toy/dummy datasets at varying complexity levels (simple, moderate, complex). • Ensure datasets reflect real-world scenarios while remaining clean, reproducible, and well-structured (CSV format). ✏️ Prompt Engineering • Write concise, natural-language prompts (<40 words) tailored for business analysts. • Ensure prompts are grammatically precise and align with project style (non-technical, not overly directive, no raw metric requests). Golden Plot Creation • Reproduce target visualizations with aesthetic and analytical fidelity. • Write clean, reproducible Python code using libraries like pandas, matplotlib, seaborn, and plotly. • Maintain high-quality code standards: well-commented, organized, and reproducible. ✅ Correctness Criteria & Documentation • Define correctness criteria tailored to open-ended insight prompts. • Ensure criteria are flexible, accurate, and avoid assuming fixed solutions. • Provide supporting documentation with expected values and metrics (e.g., means, correlations, test results). ️ Quality Assurance • Rigorously check each example against quality rubrics (correctness, completeness, clarity, justification). • Maintain a high standard of accuracy across data, prompts, and visualizations. Required Qualifications • 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. Preferred Qualifications • 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. Disclaimer • Please note: As this opportunity is intended for experienced professionals, applicants will be required to complete both an English proficiency assessment and a Python skills test. These evaluations are designed to ensure the necessary level of expertise for the role. We kindly ask that only those with relevant experience apply. If you’re a data expert who thrives on quality, clarity, and impactful engineering, we’d love to hear from you Apply tot his job