4 дня назад
Technical Historical Records Linguist II (Russian, Ukrainian, Old Church Slavonic)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Historical Records Linguist II (Russian, Ukrainian, Old Church Slavonic) (Historical Records/NLP): Building high-quality machine learning datasets from historical genealogical documents with an accent on paleography, linguistic annotation, and precise document layout mapping. Focus on modeling relationships between text areas, curating structured and unstructured data, and reviewing datasets for accuracy.
Location: Hybrid role based in Salt Lake City, Utah, United States
Company
develops technology and data resources that make historical genealogical records more accessible through automation and machine learning.
What you will do
- Decipher historical genealogical documents using paleography skills.
- Annotate language data to build natural language processing datasets.
- Model relationships between areas of text to represent how historical documents are read.
- Map document layouts and curate large volumes of structured and unstructured data.
- Review datasets, correct errors, and deliver accurate work on schedule.
- Support multiple automation and data-modeling projects in a changing, high-volume environment.
Requirements
- Bachelor’s degree in computer science, linguistics, family history, or a related field, or equivalent experience.
- At least two years of relevant experience or equivalent experience.
- Native-level fluency in Russian or Ukrainian and experience with Old Church Slavonic.
- Business-level English fluency.
- Demonstrated paleography, linguistics, historical-document, data-quality, analytical, and technical skills.
- Ability to manage high volumes of work, support multiple projects, apply technical concepts quickly, and use Microsoft Word, PowerPoint, and Excel.
Culture & Benefits
- Full-time employee position with a regular employment status.
- Work supports ’s efforts to make billions of historical records accessible through automation and machine learning.
- Employment requires membership in The Church of Jesus Christ of Latter-day Saints and current temple worthiness.
- Equal-opportunity employment and reasonable accommodations for qualified applicants.
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