12-24 month contract
Salt Lake City, Utah or Remote
We are looking for an experienced detail-oriented individual with demonstrated native-level Scandinavian language expertise, and deep knowledge of historical genealogical documents to help us build high-quality training data for machine learning systems. This person's work will help make billions of records available in FamilySearch's automation and machine learning platform.
Responsibilities
As a Machine Learning Technical Historical Records Linguist I in the Records Product Group at FamilySearch you will be exercising your demonstrated expertise in paleography, linguistics, technology, and historical records to build machine learning training datasets for historical genealogical documents in the Italian language. You'll use paleography skills to accurately decipher historical documents, annotate language data with linguistic information to build natural language processing (NLP) datasets, model the way people naturally read historical documents by creating hierarchies of relationships between areas of text, precisely map the layout of historical documents, curate large amounts of data, review datasets for errors and provide corrections in a timely manner, and other data modeling activities and duties as assigned. You'll enable FamilySearch's automation efforts by meeting aggressive deadlines and accomplishing work assignments with consistently high output, quality, and accuracy.
Qualifications
Education:
Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy.
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