Senior AI Data Engineer - Argentina (Remote, Part-Time)

Welocalize; United States; Remote; USD 60,000 - 80,000; Part time

Job summary

A leading localization services provider is seeking a Senior Data Engineer to create realistic datasets, write intuitive prompts, and develop high-quality visualizations. The role requires expert-level proficiency in Python and a strong background in data engineering. This part-time position offers flexible hours and a chance to contribute to a large-scale project starting immediately. If you thrive on quality and impactful engineering, we’d love to hear from you.

Qualifications

• 10+ years of professional experience in data engineering or applied data science.
• Expert-level proficiency in Python, especially in data wrangling and visualization.
• Deep understanding of data modeling, prompt crafting, and reproducible workflows.

Responsibilities

• Design and build realistic datasets at varying complexity levels.
• Write natural-language prompts that are grammatically precise.
• Reproduce target visualizations using clean, reproducible Python code.

Skills

Python expertise

Data engineering

Data wrangling

Quality assurance

Attention to detail

Tools

pandas

matplotlib

seaborn

plotly

Job description

Overview

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: $17-$25

Compensation is determined by the candidate\'s level of experience.

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
  • 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.