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Data Labeler (Dutch intermediate speaker)

Role overview

Qualifications

  • Ability to read and interpret Dutch at an intermediate level or higher
  • Intermediate to advanced English proficiency
  • Bachelor’s degree in Data Science, Humanities, History, Linguistics, or a related field
  • Entry- to mid-level professional with experience in data science, data labeling, data annotation, or research

Responsibilities

  • Collect, clean, and process historical family records from various sources
  • Identify patterns, relationships, and anomalies in family records and historical documents
  • Collaborate with peers to validate data findings and contribute to understanding of family histories
  • Review, document, and validate historical data to ensure consistency and accuracy

Key facts

Hard skills

Other skills

  • Collaboration
  • Analytical Skills
  • Communication
  • Detail Oriented
  • Problem Solving

About the company

Heinsohn logo

Heinsohn

Software Development

Heinsohn Business Technology is a leading software development and consultancy company with 40 years of market experience and several branches across Latin America, United States and Canada.We offer a robust IT Services portfolio including Cloud Computing, Big Data-Analytics, Integration (SOA-BPM), and software development in diverse technologies. Learn more about us.

Company details

Company typeXLarge
IndustrySoftware Development
Company size1001 - 5000

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Job description

At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth.

We are looking for a Data Labeler to join our team and bring expertise that will contribute to the success of high-impact international projects.

Key Responsibilities

  • Data Collection and Cleaning: Collect, clean, and process historical family records from various sources, ensuring data quality and accuracy using our in-house data extraction tool.

  • Pattern Recognition: Identify patterns, relationships, and anomalies in family records and historical documents across multiple languages.

  • Historical Research: Collaborate with peers to validate data findings and contribute to a better understanding of family histories.

  • Collaboration: Work with cross-functional teams to integrate and validate data findings.

  • Documentation and Data Validation: Review, document, and validate historical data to ensure consistency, accuracy, and completeness.

Qualifications

  • Specific Language Requirement: Ability to read and interpret Dutch at an intermediate level or higher is essential for this role.

  • English: Intermediate to advanced English proficiency is required, as the role involves working with an international, multicultural team.

  • Education: Bachelor’s degree in Data Science, Humanities, History, Linguistics, or a related field. Equivalent academic or professional experience may also be considered.

  • Experience: Entry- to mid-level professional with some experience in data science, data labeling, data annotation, research, or a related field.

  • Analytical Skills: Strong problem-solving skills and the ability to think critically and analytically.

  • Communication: Good verbal and written communication skills, with the ability to explain findings and concepts clearly.

  • Attention to Detail: Strong perseverance and attention to detail when working with historical records and difficult-to-read documents.

  • Pattern Recognition: Ability to identify patterns, relationships, and inconsistencies in historical documents and datasets.

  • Language Skills: Interest in learning to read and interpret additional languages and historical documents.

  • Research Mindset: Curiosity and willingness to investigate unfamiliar names, places, dates, and historical records.

Additional Information

  • Location: Remote – Latin America (LATAM).

  • Work Schedule: The work schedule aligns with Salt Lake City, Utah (Mountain Time) or nearby time zones.

  • The position involves working with an international and multicultural team.

Benefits

  • Competitive salary.

  • Flexible work hours and remote work.

  • Professional development and training opportunities.

  • Inclusive and collaborative work environment with a multicultural team.

  • Opportunity to work on international projects involving historical records and multilingual data.

Ready to take your talent to the next level?
At Heinsohn, we value innovation, passion for technology, and teamwork. If this sounds like your next challenge, apply today and let’s make history together! ✨

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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