Data Labeler – Dutch Intermediate

About the role

Heinsohn is seeking a Data Labeler who can read Dutch at an intermediate level to support high‑impact international projects involving historical family records. The role is fully remote within Latin America and works on a Mountain‑Time schedule.

Key responsibilities

• Collect, clean, and process historical family records from various sources, ensuring data quality and accuracy using an in‑house extraction tool.
• Identify patterns, relationships, and anomalies in family records and historical documents across multiple languages.
• Collaborate with peers to validate data findings and contribute to a better understanding of family histories.
• Work with cross‑functional teams to integrate and validate data findings.
• Review, document, and validate historical data to ensure consistency, accuracy, and completeness.

Required profile

• 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 (or equivalent experience).
• Entry‑ to mid‑level experience in data science, data labeling, annotation, or research.
• Strong analytical, problem‑solving, and attention‑to‑detail skills.

What we offer

• Competitive salary.
• Flexible work hours and fully remote work.
• Professional development and training opportunities.
• Inclusive, multicultural team environment.
• Opportunity to work on international projects involving historical records and multilingual data.