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Data Curation Ai Machine Learning Jobs in Utah (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Contribute to the refinement of data curation methodologies and best practices in computational ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights - Overseeing the implementation of data infrastructure and ...

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Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Utah?

For Data Curation Ai Machine Learning jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Curation Ai Machine Learning jobs in Utah look for?

The top searched job categories for Data Curation Ai Machine Learning jobs in Utah are:

What cities in Utah are hiring for Data Curation Ai Machine Learning jobs?

Cities in Utah with the most Data Curation Ai Machine Learning job openings:

FamilySearch Technical Historical Records Linguist II, Japanese (2-yr Fixed Term)

The Church of Jesus Christ of Latter-day Saints

Salt Lake City, UT • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

This is a 2 year Fixed-Term position for an experienced detail-oriented individual with demonstrated native-level language expertise in Japanese (including Hiragana, Katakana, Kanji, Furigana, and cursive scripts), 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.

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 to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Education:

  • BA/BS in Computer Science, Linguistics, Family History, or other bachelor's degree with related or equivalent experience required


Experience:

  • 2 years relevant or related experience or equivalent experience


Skills & Abilities:

  • Native level fluency in Japanese including:
    • Expertise in Japanese cursive scripts
    • Experience with Hiragana, Katakana, Kanji, and Furigana
  • Experience with additional languages a plus
  • Business level fluency in English
  • Demonstrated paleography skills to accurately decipher historical documents
  • Demonstrated linguistic skills to build NLP datasets
  • Experience working with historical documents
  • Strong technical and analytical aptitude with a passion for data, efficiency, and accuracy
  • Independent worker who is self-motivated, dependable, detail oriented, responsible, self-disciplined, and a team player with a record of timely delivery of requests
  • Willingness to support several projects at one time, and to accept reprioritization as necessary in a fast paced, constantly evolving environment
  • Comfortable handling a high volume of work on a daily basis
  • High proficiency in Microsoft Office tools including: Word, PowerPoint, and Excel
  • Ability to quickly grasp technical concepts

#LI-KS1

  • Exercise demonstrated expertise in paleography, linguistics, technology, and historical records to build machine learning training datasets for historical genealogical documents
  • Use paleography skills to accurately decipher historical documents
  • Annotate language data with linguistic information to build natural language processing (NLP) datasets
  • Model how individuals naturally read historical documents by creating hierarchies of relationships between areas of text
  • Precisely map the layout of historical documents
  • Perform data curation and quality assurance by:
    • Curating large volumes of structured and unstructured data
    • Reviewing datasets for errors and providing timely corrections
    • Completing other data modeling activities and duties as assigned
  • Enable FamilySearch's automation efforts by meeting aggressive deadlines and delivering consistently high output, quality, and accuracy

What Church of Jesus Christ of Latter-day Saints employees say

Pay

Benefits

Hours and flexibility

Workplace

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