Welocalize
Artificial Intelligence ⢠Enterprise ⢠SaaS
Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.
Senior Prompt Engineer
Job not on LinkedIn
September 10
Welocalize
Artificial Intelligence ⢠Enterprise ⢠SaaS
Welocalize is a leader in providing enterprise language services and AI-powered translation solutions. Known for its OPAL platform, Welocalize offers fit-for-purpose global content delivery, enabling stronger engagement and revenue for its clients. Specializing in AI-enabled service delivery, OPAL leverages machine translation engines and natural language processing to automate and optimize translations across various industries, including legal, medical, and technological sectors. Welocalize supports multiple content use cases such as marketing localization, software testing, and multilingual SEO, catering to a diverse range of industry needs. Additionally, Welocalize's commitment to AI innovation is emphasized by its new brand Welo Data, providing high-quality training data for AI development, further strengthening its position as a trusted partner for global enterprises.
đ Description
⢠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). ⢠Write concise, natural-language prompts (<40 words) tailored for business analysts and aligned with project style. ⢠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. ⢠Define correctness criteria tailored to open-ended insight prompts and provide supporting documentation with expected values and metrics. ⢠Rigorously check each example against quality rubrics (correctness, completeness, clarity, justification) and maintain accuracy across data, prompts, and visualizations. ⢠Collaborate within the Data Validation team and contribute to high-impact data engineering tasks. ⢠Role is remote and part-time with flexible hours.
đŻ 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. ⢠Experience with statistics, hypothesis testing, and storytelling with data. (preferred) ⢠Background in producing training data, developer tools, or reproducible research. (preferred) ⢠Strong writing skills for crafting precise prompts and correctness criteria. ⢠Ability to design and build realistic toy/dummy datasets in CSV format. ⢠Ability to write concise natural-language prompts (<40 words) tailored for business analysts. ⢠Proficiency with pandas, matplotlib, seaborn, and plotly. ⢠Ability to write clean, reproducible, well-commented Python code.
đď¸ Benefits
⢠Part-time, flexible hours ⢠Remote work
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