Family History Research Project Intern

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profile Job Location:

Salt Lake, UT - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Description

The Paid Internship is designed to provide meaningful educational experiences that bridge academic learning with practical application. Interns work under general supervision and are given opportunities to apply classroom principles in a professional setting. The role emphasizes learning through doing with tasks that reflect real-world challenges in historical research and data management. Interns are expected to demonstrate initiative professionalism and a commitment to the mission of the Family History Department.



Responsibilities
  • Analyze data
  • Examine sensitive records
  • Quickly learn new FamilySearch products
  • Complete assignments from management
  • Meet challenging deadlines
  • Collaborate effectively with team members
  • Follow direction and pay close attention to details


Qualifications
  • Currently enrolled in or within a year of graduating with a degree from a College or University with a degree in Family History.
  • Experience in data analysis with highly developed and refined genealogical researching skills that provide confidence in performing research on department projects.
  • Genealogical research experience beyond academic requirements. Keen attention to detail.
  • Thorough understanding of original and derivative sources. Exceptional organizational skills.
  • Proficiency with technology and computer programs including Microsoft Word and Excel. Desire to learn and develop new skills.
  • Positive attitude that enhances the teams culture.



Required Experience:

Intern

DescriptionThe Paid Internship is designed to provide meaningful educational experiences that bridge academic learning with practical application. Interns work under general supervision and are given opportunities to apply classroom principles in a professional setting. The role emphasizes learning ...
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Key Skills

  • Robotics
  • Machine Learning
  • Python
  • AI
  • C/C++
  • Data Collection
  • Research Experience
  • Signal Processing
  • Natural Language Processing
  • Computer Vision
  • Deep Learning
  • Tensorflow

About Company

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Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings— giving Church members places ... View more

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